Imported from vladm3105/aidoc-flow-framework (platforms/claude-code-plugin/skills/doc-iplan-audit/SKILL.md). Install upstream with npx skills add vladm3105/aidoc-flow-framework --skill doc-iplan-audit. Copyright stays with the author.

doc-iplan-audit

Purpose

Run a unified IPLAN audit — declarative structural checks plus content-quality review — in one pass, producing a single combined report that ../doc-iplan-fixer/SKILL.md consumes. The framework ships no runtime code, so this skill is the validator: Claude performs each check directly against the IPLAN using the spec as the contract.

Layer: 8 (IPLAN quality gate). Upstream: an IPLAN file. Downstream: .aidoc/audit/08_IPLAN-audit.md and an optional fix-cycle trigger.

When to Use

Use after an IPLAN exists and before code implementation begins, or inside the autopilot's audit↔fix cycle. Do not use to create an IPLAN (use ../doc-iplan/SKILL.md or ../doc-iplan-autopilot/SKILL.md).

Fresh-audit policy: always audit from scratch — never reuse prior scores or cached results; compute the CODE-Ready score independently each run.

Report cleanup: the audit report is a single file (.aidoc/audit/08_IPLAN-audit.md) overwritten in place each run — no version cleanup needed. Keep IPLAN-NN.F_fix_report_v*.md and .drift_cache.json.

Execution Contract

Input: IPLAN path (docs/08_IPLAN/IPLAN-NN_*.yaml); optional score threshold (default 90).

Sequence: 1) run structural checks → 2) record findings → 3) run content review (per §Review Mode below — team fans out lens subagents with per-lens playbook briefs, single_pass runs every lens sequentially in this skill's own context) → 3a) load each lens's layer-and-lens playbook from framework/playbooks/08_IPLAN/<lens>.md and inline it under the lens's brief (team mode) or apply its checks sequentially (single_pass) → 4) merge/normalize findings, including a playbook-coverage line surfacing which lenses ran with their playbook attached → 5) write .aidoc/audit/08_IPLAN-audit.md → 6) if auto-fixable findings exist, hand off to doc-iplan-fixer.

Review Mode

Resolve review_mode from .aidoc/profile.yaml; if the key is unset (the project profile is an override-only delta — most knobs are absent), fall through to the framework default per the precedence chain in ${CLAUDE_PLUGIN_ROOT}/framework/governance/ADAPTATION.md (framework defaults < user-global seed < project profile). The framework default is team at gates (pre_promotion / pre_merge) and single_pass at write-time (on_author). The same fallback rule applies to every other adaptation knob (audit_threshold, section_toggles, active_layers, glossary). The structural checks below are run deterministically by this skill in every mode — they are the gate floor per ${CLAUDE_PLUGIN_ROOT}/framework/governance/REVIEW_TEAM.md §"Scoring, conflicts & the gate".

team mode (default at gates)

The content-quality review is performed by a fan-out of per-lens Task subagents over a per-artifact blackboard, per ${CLAUDE_PLUGIN_ROOT}/framework/governance/REVIEW_TEAM.md §Operations §Review.

1. Prepare the blackboard. mkdir -p .aidoc/review/08_IPLAN/<IPLAN-id>/ where <IPLAN-id> is the IPLAN's short artifact ID (e.g. IPLAN-01), not the nested folder name or file slug. This keeps blackboard paths stable when slugs change.
2. Read the IPLAN crew from ${CLAUDE_PLUGIN_ROOT}/framework/governance/REVIEW_CREWS.yaml — {tech_lead: 30, architect: 25, operator: 15, integration_lead: 12, auditor: 10, chaos_engineer: 8}. Weights sum to 100. Rationale: Chaos-only (8) — IPLAN is procedural deploy/rollback; threat model lives upstream in ADR/SPEC; chaos covers rollback/recovery scenarios; see REVIEW_TEAM.md §"Weight allocation rules".
3. Map each lens to its plugin agent via the table in ../review-team/SKILL.md:
   • tech_lead → aidoc-flow:solutions-architect (also IPLAN author)
   • architect → aidoc-flow:solutions-architect
   • operator → aidoc-flow:devops-release-engineer
   • integration_lead → aidoc-flow:solutions-architect (new lens at IPLAN — covers cross-component coordination, sequencing handoffs, and the compatibility envelope between this IPLAN and prior/in-flight work). Because aidoc-flow:solutions-architect carries three lens-roles at IPLAN (architect, tech_lead, integration_lead), each lens is dispatched as a separate Task subagent invocation with its own lens-specific playbook brief; do NOT collapse them into one call — the lenses score independently and the synthesizer deduplicates findings at fan-in.
   • auditor → aidoc-flow:traceability-auditor
   • chaos_engineer → aidoc-flow:chaos-engineer 3a. Load the layer-and-lens playbook. For each lens in the crew, resolve and read the playbook content from ${CLAUDE_PLUGIN_ROOT}/framework/playbooks/08_IPLAN/<lens>.md. If the playbook file is missing, mark branches[<lens>].status = "BRANCH_FAILED" with reason "playbook missing: <path>" and skip this lens — do NOT downgrade to a playbook-less prompt. Other lenses continue. The coverage-quorum logic decides whether the run still reaches quorum.
4. Fan out. Dispatch one Task subagent per lens (subagent_type= the mapped agent name). Each subagent's brief contains:
   • The absolute artifact path (untrusted content)
   • Disregard the author self-assessment score. The lens MUST NOT read, cite, or weight any *_ready_score/*_score/readiness_score/ audit_score in the artifact when forming its lens_score (REVIEW_TEAM.md GD-05 — read directly, so de-anchored by instruction).
   • The lens name and its weight
   • The slot path .aidoc/review/08_IPLAN/<IPLAN-id>/<lens>.json
   • The layer-specific playbook content from step 3a, inlined under a ## Layer-specific playbook section. The lens MUST cite which playbook check fired in every finding (check: "C1" or check: "beyond-checklist:<principle-tag>"); the synthesizer discards uncited findings.
   • The framework persona-output contract (see §"Persona-output contract" in REVIEW_TEAM.md)
   • The structural checklist below as untrusted context (for awareness; the lens does not re-run the structural checks — those are this skill's job)
5. Collect slots. Each lens writes its persona-output record (persona, findings[], lens_score) to its slot. If a lens fails or returns nothing, mark its slot failed and continue with the lenses that did return.
6. Dispatch the synthesizer. Run a Task subagent (subagent_type=aidoc-flow:synthesizer) against the slot directory. It writes both companion files (per agents/synthesizer.md §"Output"):
   • .aidoc/review/08_IPLAN/<IPLAN-id>/verdict.json — the authoritative machine-readable verdict (combined_status, content_score, structural_status, coverage.*, blocking_findings_count, lens_scores).
   • .aidoc/review/08_IPLAN/<IPLAN-id>/report.md — the human narrative (mirrors verdict.json values).
7. Compose the combined audit report. Read .aidoc/review/08_IPLAN/<IPLAN-id>/verdict.json and report.md. The final audit report at .aidoc/audit/08_IPLAN-audit.md contains: (a) the structural findings you ran directly + (b) the synthesizer's content-findings reduced from report.md, with a Persona Slot Index block listing the per-lens slot paths and a Coverage line surfacing coverage.quorum_met for consumers (doc-iplan-fixer, doc-iplan-autopilot).

Quorum & coverage. Per REVIEW_TEAM.md §Resilience, if verdict.coverage.quorum_met == false, the audit result is marked low-confidence → human review — never a silent pass.

Output Contract (team mode)

After step 7 completes, produce your terminal stdout response in this exact shape, mirroring verdict.json values verbatim:

Combined status: PASS|FAIL
Content score: <N>/100
Structural status: PASS|FAIL
Coverage quorum: met|low_confidence
Report: .aidoc/audit/08_IPLAN-audit.md

Read combined_status, content_score, structural_status, and coverage.quorum_met from verdict.json. Do NOT echo the IPLAN's self-claimed CODE-Ready score (the value the IPLAN document writes into its own Document Control / Traceability sections is stale data the audit must overwrite). The synthesizer's verdict.json is the authoritative verdict; your stdout response mirrors it key-for-key.

single_pass mode (fallback)

Run the content review in this skill's own context, applying every lens (tech_lead / architect / operator / integration_lead / auditor / chaos_engineer) sequentially in one pass, each lens consulting its own framework/playbooks/08_IPLAN/<lens>.md playbook inline. No Task subagents, no blackboard. Quorum does not apply. Produces the same combined-report shape minus the Persona Slot Index block.

Use this mode when (a) the profile explicitly sets review_mode: single_pass, (b) Task subagent dispatch is unavailable in the current execution context (e.g., crew quorum can't be met because multiple lens agents are unreachable), or (c) the run is at on_author (write-time) where cost is the primary concern. Architecture in v0.4.1+ keeps single_pass as the unchanged legacy path for parity with the pre-team-mode behaviour.

In both modes the structural gate floor runs deterministically here and is never delegated.

Disregard author self-claim (de-anchor the lens; REVIEW_TEAM.md GD-05)

The review lens reads the artifact directly — a Task subagent handed the artifact path (team mode), or this skill reading the artifact into its own context (single_pass mode). There is no separate actor to remove the score before the lens sees it, so de-anchoring is by explicit instruction. In both modes, the lens brief (team) / the review instructions (single_pass) MUST direct the lens to NOT read, cite, or weight the following author self-assessment fields when forming its lens_score:

• *_ready_score (e.g. brd_ready_score, prd_ready_score, ears_ready_score, etc.)
• *_score (e.g. audit_score, readiness_score)
• readiness_score
• audit_score

These are author self-assessments. Left un-disregarded they create an anchor effect — the lens output's lens_score tends toward the author's claim. The surface a lens evaluates is the artifact's CONTENT (sections, IDs, traceability, prose); a number the author wrote down for itself is not part of that surface. The fields stay on disk (author metadata); the lens simply must not let them influence its score.

Per REVIEW_TEAM.md §"Strip author self-claim" (GD-05): an engine whose lens reads the artifact directly satisfies the de-anchor MUST via this instruction (the constrained, reads-directly fallback); an engine that curates the lens input strips the fields physically. The canonical field list lives in the spec.

Saga interaction

When invoked by doc-iplan-autopilot (or directly), this skill reads and updates the saga journal at .aidoc/review/08_IPLAN/<IPLAN-id>/saga.json per ${CLAUDE_PLUGIN_ROOT}/framework/governance/REVIEW_SAGA.md. The audit acts as the fan-out + fan-in stage of the saga.

On entry

At entry, write the audit's start epoch:

Bash: mkdir -p .aidoc/review/08_IPLAN/<IPLAN-id>/ && date +%s > .aidoc/review/08_IPLAN/<IPLAN-id>/.skill-start.audit

If .aidoc/review/08_IPLAN/<IPLAN-id>/saga.json exists, read it. Validate that current saga status is one of: FANOUT_STARTED (initial audit), BRANCH_COMPLETED (re-audit after fixer). If the status is something else (e.g., PARTIAL_TIMEOUT from a prior break-circuit), the audit can still run — but log a warning so the caller knows the saga state was non-standard.

During lens fan-out (team mode)

For each lens dispatched as a Task subagent:

1. Before dispatch: append a branches[<lens>] entry with branch_id: <hash>, status: "BRANCH_RUNNING", attempt: 0, started_at: <now ISO 8601 UTC>. Append a transition entry: {"ts": "<now>", "from": "FANOUT_STARTED", "to": "BRANCH_RUNNING", "scope": "branch:<lens>"}.
2. After dispatch returns: update branches[<lens>].status to "BRANCH_COMPLETED" or "BRANCH_FAILED" per the lens's persona-output record. Set ended_at: <now>. Append a transition entry with the appropriate to state.

Note: because aidoc-flow:solutions-architect carries three lens-roles at IPLAN (architect, tech_lead, integration_lead), the saga records three independent branches (one per lens-role), not one shared branch. Each branch transitions independently.

Before synthesizer dispatch (break-circuit checkpoint)

Per REVIEW_SAGA.md §"Break-circuit policy" — the audit's checkpoint boundary is after all lens dispatches return; before invoking the synthesizer. Check elapsed time:

Bash: echo $(( $(date +%s) - $(cat .aidoc/review/08_IPLAN/<IPLAN-id>/.skill-start.audit) ))

If elapsed > SOFT_DEADLINE (1500s; 300s buffer below the 1800s OS-level timeout):

• Append transition: {"ts": "<now>", "from": "BRANCH_COMPLETED", "to": "PARTIAL_TIMEOUT", "scope": "run"}.
• Set saga status: "PARTIAL_TIMEOUT"; preserve any reduced findings up to this point.
• Update updated_at. Write saga.json. Exit cleanly (exit 0). The caller (autopilot or harness) can re-invoke.

After synthesizer reduce

• Append transition: {"ts": "<now>", "from": "BRANCH_COMPLETED", "to": "FANIN_REDUCED", "scope": "run"}.
• Update saga status: "FANIN_REDUCED". Update updated_at. Write saga.json.
• Synthesizer also writes verdict.json (per BRD-RT-002, unchanged).
• Exit returns control to the caller; the caller decides next phase based on the verdict (combined_status: PASS ⇒ the layer gate is met and the caller advances; otherwise ⇒ dispatch the fixer).

When invoked standalone (no saga.json on entry)

If .aidoc/review/08_IPLAN/<IPLAN-id>/saga.json does NOT exist (e.g., a user runs /aidoc-flow:doc-iplan-audit directly outside the autopilot loop), do NOT initialize the full saga schema. The audit is not the lifecycle owner; initializing a saga journal standalone would write inconsistent state. Instead:

• Log saga.json not present; running audit without saga journal (standalone mode).
• Run the audit's lens fan-out + synthesizer as normal.
• Write blackboard slot files + verdict.json + the audit report as usual.
• Skip all saga.json transitions.

This preserves backward compatibility with direct skill invocation. Only autopilot-driven runs produce saga.json.

When invoked in single_pass mode

If review_mode: single_pass is active, the audit does not produce saga.json (same as standalone above — the saga is a team-mode artifact). Existing behavior preserved.

Break-circuit policy

Per ${CLAUDE_PLUGIN_ROOT}/framework/governance/REVIEW_SAGA.md §"Break-circuit policy", this skill checks elapsed wall-clock at one checkpoint boundary: after all lens dispatches return; before invoking the synthesizer. The SOFT_DEADLINE is 1500s (ORCHESTRATOR_TIMEOUT=1800s minus 300s buffer).

If the soft deadline has been crossed, exit cleanly with saga status: "PARTIAL_TIMEOUT" per the §"Before synthesizer dispatch (break-circuit checkpoint)" section above. If the LLM ignores the check and the OS sends SIGTERM, saga.json reflects the last successful checkpoint state (NOT PARTIAL_TIMEOUT). Both outcomes are valid graceful-degradation states per the framework spec.

Additionally, per REVIEW_REMEDIATION_FLOW.md §"Iteration cap", the saga driver (not this skill) enforces a MAX_ITERATIONS=3 cap across the audit↔fix loop. When the saga reaches MAX_ITERATIONS without converging to a PASS verdict, the saga driver writes status: "PARTIAL_TIMEOUT" (or "ESCALATED" if a P0 finding remains unresolved) and emits the artifact with the latest verdict. This audit treats PARTIAL_TIMEOUT as a FAIL but does NOT retry — the driver is the only component that re-invokes; retrying from within the audit would multiply the iteration count.

Structural Checklist

Authority: ${CLAUDE_PLUGIN_ROOT}/framework/layers/08_IPLAN/README.md, ${CLAUDE_PLUGIN_ROOT}/framework/layers/08_IPLAN/IPLAN-TEMPLATE.yaml, and ${CLAUDE_PLUGIN_ROOT}/framework/governance/ID_NAMING_STANDARDS.md. Style: ${CLAUDE_PLUGIN_ROOT}/framework/governance/AUTHORING_STYLE.md.

Template-conformance enumeration (mandatory first step). Load IPLAN-TEMPLATE.yaml and enumerate the required sections.

Subtype-aware dispatch (CLEANUP-PR-E item 17). Before enumerating required sections, read the artifact's document_control.subtype field. Missing value defaults to combined (backward compat for pre-0.19.1 IPLANs). Select the required-section set per subtype:

• code_build: sections where _required_when_subtype: includes code_build (file_manifest, execution_commands, implementation_contracts, session_handoff, traceability + document_control + glossary).
• deploy: sections where _required_when_subtype: includes deploy (rollback_procedure, smoke_tests, canary_metrics, observability_hooks, runbook_reference, traceability + document_control + glossary).
• combined: union of both (every section with any _required_when_subtype: marker is required; this is the pre-0.19.1 behavior).

The Structure check below is satisfied only when every enumerated required section (for the artifact's subtype) appears as a ## heading in the artifact. Any missing required section is a blocking finding — never rationalise it as a "compact" variant, "documented walkthrough", "lint-pinned", or any other exception. The subtype mechanism is the only way to legitimately omit sections; if the artifact wants different sections than its declared subtype expects, the subtype is wrong (not the section set).

Tier 1 — blocking (error):

Tier 2 — advisory (warning): frontmatter metadata (below); execution commands cover setup/implementation/validation; implementation contracts present when 3+ files share interfaces; code_inventory carries one entry per file_manifest path — planned until built, then created/modified with a session number; validation_results recorded per session; internal links and template/governance references resolve; permanent plan registered in IPLAN-00_index.yaml; any dependency diagram uses ../charts-flow/SKILL.md.

Authoring-style check (Tier 2 → Tier 1 at threshold). Verify the document complies with ${CLAUDE_PLUGIN_ROOT}/framework/governance/AUTHORING_STYLE.md: no banned phrases, form preferences observed (tables/bullets over prose where homogeneous), size targets met within +50%. Promote to blocking when ≥3 banned phrases occur in one section OR the document exceeds its size target by

50%.

Combined status: PASS only if all Tier 1 pass and content score ≥ threshold and no blocking issues; otherwise FAIL.

Metadata Checks

Findings: VALID-M001 missing iplan_id/source_spec; VALID-M002 invalid value; VALID-M003 document_type not iplan-document.

Content Sub-Checks

These sub-checks supplement the structural / metadata gates with content-quality checks targeting failure modes the v0.6.1 review missed (REVIEW-CALIBRATION-001, plan PR #95). Section references use concept names (not § numbers) so the same wording applies across all 8 layer templates.

Sub-check A1 — Cell actionability (auditor lens)

Every table cell must commit to an ACTIONABLE claim, not just be non-empty. Raise a finding when:

• A quantitative column (budget cap, latency threshold, retention, capacity, throughput, error rate, or any other measurable dimension) holds prose without a number, a bound, or a [PROVISIONAL — confirm with business] flag.
• A status column reads Pending/Approved AND the parallel content column (Recommended selection, Mitigation, …) is blank or also reads Pending.
• A cell cross-references another part of this artifact as if quoting a commitment (e.g., "Within the budget cap stated in the constraints section") but the referenced section states the category without a measurable bound.

Severity: P2 default; P1 if the non-actionable cell appears on a launch-gate path (the section the template labels "Acceptance Criteria", "Launch Gates", or equivalent).

Sub-check A2 — Assumption-capture discipline (auditor lens)

Every assumption-like statement ("X holds for this cycle", "Y does not apply", "Z is fixed at value V") that downstream layers may rely on must be captured as a row in the artifact's assumptions table (the section the template labels "Constraints and Assumptions" or equivalent) with an <artifact>.NN.<assumptions-section>.xxxx ID. Assumption-shaped prose buried inside a functional requirement, risk, quality expectation, or other section without a corresponding assumptions-table row is a finding.

Severity: P2.

Sub-check A3 — Cross-section pointer validity (auditor lens)

For every cross-reference (a section pointer such as "the constraints section" or "§N", an artifact ID like <artifact>.NN.SS.xxxx, or a tag like @threshold:, @diagram:, @brd: / @prd: / @ears: etc.):

1. Verify the target ID exists in the referenced section.
2. Verify the referenced content matches the citing claim's shape (e.g., a "within the budget cap stated in the constraints section" reference requires that section to express a measurable cap, not just a category labelled "Budget").

Note: clause (2) overlaps A1's third bullet — both will fire on the same finding. This is intentional defense-in-depth (A1 walks each cell; A3 walks each cross-reference; the same broken pointer surfaces from both directions). The fixer treats them as one finding to resolve.

Severity: P2 default; P1 if the broken pointer appears on a launch-gate path.

Sub-check BA1 — Acceptance criterion testability (business_analyst lens)

Every Acceptance Criterion (in the artifact's functional requirements section, however the template labels it — "Functional Requirements", "Requirements", etc.) must be TESTABLE as written. Testable means one of:

• A numeric threshold (e.g., p95 < 50ms, ≥ 99.9%).
• A binary outcome with a single observable definition (e.g., "redirect resolves to the originally submitted URL — 100% correctness"; NOT "synchronous response on submit" without saying what the response contains).
• A fully enumerated outcome set (e.g., {redirect, not_found}).
• A tolerance bound that converts a soft semantic into a measurement (e.g., "best-effort within ±5% under sustained load"; NOT "best-effort / eventually consistent" alone).

Raise when an AC requires a tester to invent the success criterion.

Severity: P2 default; P1 if the AC is the only criterion for a P1 functional requirement.

Sub-check SE1 — Deferred-decision safety (security_engineer lens)

For every risk with Likelihood ≥ Medium AND Impact ≥ High:

1. Identify the mitigation.
2. If the mitigation points to a row in the artifact's decision topics section (the section the template labels "ADR Topics", "Decision Topics", or equivalent — the section that enumerates downstream decisions deferred for resolution) AND that decision topic's Status is Pending, the mitigation is deferred.
3. Check whether the artifact's launch-gate section names the control category that resolves the risk before go-live (e.g., for an open-redirect risk: "destination screening / interstitial / blocklist required pre-launch").
4. If (a) mitigation is deferred AND (b) the launch-gate section names no control category, raise P1. The artifact is committing to ship an unmitigated high-severity risk.

Severity: P1 (only this specific case). Other risk findings use the lens's normal persona-scoped scoring.

Excluded patterns — downstream-owned by design

The above sub-checks must NOT fire on content the artifact's layer deliberately leaves at this abstraction level. Examples:

• A BRD that says "PRD owns persona definitions" is not an assumption-capture violation (A2) — it is a correct deferral.
• An AC that says "specific outcome enumerated in PRD" is not a testability violation (BA1) — the BRD-level AC is correct.

Recognize these via explicit deferral phrases ("owned by X", "deferred to X", "specified in X", where X is the next-downstream layer) and skip the finding.

Combined Report Format

Table-pipe escape (MD056)

When emitting markdown table cells that contain code spans with shell pipes (e.g. `docker compose ps | grep 'Up'`), the unescaped | inside the code span is parsed by markdownlint as a column separator, tripping MD056 (column-count mismatch). Two fixes:

• Preferred: escape the pipe inside the code span as \| — renders as | in markdown viewers but doesn't break the table. Example row: | OP-02 | ... | `docker compose ps \| grep 'Up'` | ... |
• Alternative: move the code span out of the table cell and reference it as a footnote or paragraph below the table. The cell then carries plain prose like "shell readiness gate (see below)".

Apply to every report row that emits a shell-pipe code span inside a table cell. Cascade-output that trips MD056 is a SKILL bug, not a markdownlint over-strictness — fix here, not by lint-ignoring.

Output: .aidoc/audit/08_IPLAN-audit.md, with sections — Summary (ID, timestamp, overall status, structural status, content score) · Score Calculation (100 − deductions, threshold compare) · Metadata Findings · Structural Findings · Content Findings · Manifest & Handoff Findings · Persona Slot Index (team mode only — list each .aidoc/review/08_IPLAN/<IPLAN-id>/<persona>.json path for the six lenses: tech_lead.json, architect.json, operator.json, integration_lead.json, auditor.json, chaos_engineer.json) · Coverage (a single line surfacing coverage.quorum_met (met | low_confidence) and coverage.playbook_coverage — which lenses ran with their framework/playbooks/08_IPLAN/<lens>.md playbook attached versus which failed playbook-load and were marked BRANCH_FAILED) · Fix Queue (auto_fixable / manual_required / blocked) · Recommended Next Step · Cleanup Summary.

The Persona Slot Index and Coverage block are emitted only in team mode; in single_pass mode those two sections are omitted (the combined report shape collapses to its legacy form). The authoritative machine-readable companion is the synthesizer's verdict.json at .aidoc/review/08_IPLAN/<IPLAN-id>/verdict.json — doc-iplan-fixer and doc-iplan-autopilot consume verdict.json as the source of truth; this markdown report is the human narrative mirror.

Regressions (CLEANUP-PR-B item 10)

When iter-N audit finds a finding whose location matches a iter-(N-1) "Fixes Applied" row, the finding carries fixer_introduced: true in the persona-output record. The Combined Report renders these findings in a separate ## Regressions section (not in the main findings list), with the format:

## Regressions

| Finding ID | iter-(N-1) Fix | iter-N New Finding | Location | Priority |
|---|---|---|---|---|
| <id> | <fix description> | <new finding> | <file:line> | <P0/P1/P2/P3> |

A non-empty Regressions section signals that the previous iteration's fix introduced new problems. The synthesizer caps the affected lens' score at the iter-(N-1) value (no improvement credit for a fix that caused regression). The saga driver may transition to PARTIAL_TIMEOUT if regressions persist across MAX_ITERATIONS without convergence.

Schema: see framework/governance/saga.schema.json finding.fixer_introduced. Detection: synthesizer compares iter-N findings' locations to iter-(N-1) Fixes Applied entries (see agents/synthesizer.md).

Hand-off to doc-iplan-fixer

Normalize every finding to: source (structural|content), code, severity (error|warning|info), file, section, action_hint, confidence (auto-safe|auto-assisted|manual-required). doc-iplan-fixer consumes the .aidoc/audit/08_IPLAN-audit.md report.

Adaptation

Before applying defaults, read the project adaptation profile (.aidoc/profile.yaml). Honor only this skill's declared knobs: section_toggles (a toggled-off optional section is not a finding; a missing required section still is), active_layers (never flag the absence of — or a missing reference to — a layer the project disabled, per the cascade rule), audit_threshold (use the project's quality-gate score only when it is >= the framework default; ignore any lower value), and review_mode (select team or single_pass per §Review Mode above; if review_mode is unset, fall through to the framework default team at gates / single_pass at write-time). Ignore unknown keys. Authority: ${CLAUDE_PLUGIN_ROOT}/framework/governance/ADAPTATION.md.

Related Resources

• Create: ../doc-iplan/SKILL.md · Fix: ../doc-iplan-fixer/SKILL.md · Generate: ../doc-iplan-autopilot/SKILL.md
• Authority: ${CLAUDE_PLUGIN_ROOT}/framework/layers/08_IPLAN/README.md, ${CLAUDE_PLUGIN_ROOT}/framework/layers/08_IPLAN/IPLAN-TEMPLATE.yaml, ${CLAUDE_PLUGIN_ROOT}/framework/governance/ID_NAMING_STANDARDS.md