Imported from hadriansecurity/OpenHack (AGENTS.md). Install upstream with npx skills add hadriansecurity/OpenHack. Copyright stays with the author.

Agent Instructions

This repository is a file-based openhack workspace. When a human asks to start, initiate, run, resume, or continue a pentest/security review, use the tool structure before doing vulnerability analysis.

Required Pentest Flow

Do not begin with a broad LLM source sweep, direct expert pass, or ad hoc manual review of the target repository.

For a new target, use phase checkpoints:

1. Run openhack init-run <target> <git-url> [--run-id <run-id>] [--branch <branch>].
2. Summarize the created run and source commit, then ask the human what security experts to use before recon. Show every configured expert and the option all agents.
3. Run openhack run-recon <target> <run-id> --all-agents only after approval, or run it with one or more --expert <expert-id> options if the human selected a subset.
4. Summarize recon counts and artifacts; ask whether to proceed to scenario routing and backlog generation. If the human wants deeper source-pattern coverage, rerun recon with --semgrep before scenario routing. Recon writes routing-units.jsonl; treat those clustered units as the primary router input instead of asking the router to reason over the full raw inventory dump.
5. After approval, run openhack create-scenarios <target> <run-id>, have the scenario-router answer the rendered prompt, and record that router output with openhack record-scenario-backlog <target> <run-id> router-result.json without inserting another human confirmation between prompt creation and backlog recording. The scenario-router must use the expert scope recorded before recon; do not create scenarios for unselected experts. The router must route from mandatory routing_unit_id + expert pairs when routing units are present, and use path/expert coverage requirements as a compatibility backstop.
6. Summarize backlog size and coverage notes; ask for one approval to run the entire unfinished scenario backlog. Batch approval is not batch analysis: every scenario still needs its own rendered prompt, source review, evidence, and result.
7. Review only recorded runs/<target>/<run-id>/scenarios/backlog/S*.md expert prompts and record results with openhack record-scenario-result <target> <run-id> .... This records finished scenario results and finding-candidates/; it does not create final findings/.
8. Summarize finding-candidate count and ask once to run the entire unfinished finding triage backlog. Every candidate must use its own rendered runs/<target>/<run-id>/finding-triage/prompts/S###-F###.md prompt and its own finding-triage subagent. Render prompts with openhack render-finding-triage-prompt <target> <run-id> <candidate-id>.
9. Record each finding-triage agent answer with openhack record-finding-triage <target> <run-id> <candidate-id> triage-result.json. Only accepted and downgraded triage decisions may materialize final findings/.
10. Validate with openhack validate-run <target> <run-id>.

Do not begin vulnerability analysis from recon alone. Recon is only a scouting phase; summarize it and ask before scenario routing. Do not treat the scenario-router prompt as a human checkpoint or as final output; the approved routing phase records router output into scenarios/index.jsonl and scenarios/backlog/ before pausing again.

Do not present a sample of scenarios as complete coverage. There is no fixed scenario quota: the correct amount is however many concrete scenarios are needed to cover the credible recon evidence. Route every mandatory routing unit, every route/input file with a sink or exposure hint, every credible expert opportunity, and every distinct endpoint, parameter, role, parser, storage path, trust boundary, or deployment alias. If the backlog is small, record coverage notes that explain why the evidence is genuinely small. One scenario has one primary expert, but the same routing unit, file, path, or recon item must be routed to every relevant expert as separate scenarios. Do not let a single expert assignment suppress other plausible root-cause families. Once a backlog exists, ask once to run the entire unfinished backlog as a continuous scenario loop; then iterate over every scenarios/backlog/S*.json item individually. Do not ask again at internal ranges such as S021-S070; those are progress chunks only, not human checkpoints. Do not replace per-scenario expert review with a broad classification, sampling pass, or templated rejection. Only write scenarios/finished/S*.json after reading that scenario prompt and the relevant source. If the full backlog cannot be reviewed, stop and report the remaining scenario IDs instead of marking them finished.

After scenario review, finding triage is a second continuous loop. Ask once to run all unfinished finding-candidates/S###-F###.json candidates through the finding-triage agent, then process each candidate individually. Do not mark a candidate triaged from the scenario result alone, and do not create final findings/*.md without a recorded triage decision.

Every scenario must be run by its own subagent. The rendered runs/<target>/<run-id>/scenarios/backlog/S*.md file is the exact prompt for that scenario's subagent. The orchestrator may schedule subagents, collect their JSON answers, and record those answers, but it must not answer multiple scenarios itself, synthesize results from a template, or mark scenarios finished without a returned per-scenario subagent review. A bundled result file may only contain a small set of already-returned subagent answers; it is never a shortcut for running scenarios.

Every finding candidate must also be run by its own independent finding-triage subagent. The rendered runs/<target>/<run-id>/finding-triage/prompts/S###-F###.md file is the exact prompt for that triage subagent. The triage agent must perform due diligence on reportability, duplicate/scope boundaries, confidence, and severity; the scenario expert's severity is evidence, not the final rating.

For efficiency, the orchestrator may group unfinished scenarios by expert and use openhack next-expert-queue <target> <run-id> --expert <expert> --limit <n> to choose a bounded dispatch set. Expert grouping is scheduling only: an expert queue is not an expert batch review, and no subagent may produce results for more than one scenario. Each result must include review_mode: "per-scenario-subagent", a unique subagent_id, the rendered prompt hash, the reviewed source files, and evidence snippets that match cited source lines.

For an existing run, inspect run-config.yaml, plan.md, recon-output/, scenarios/index.jsonl, scenarios/backlog/, scenarios/finished/, finding-candidates/, finding-triage/, and findings/ to determine the next missing phase. Summarize the current state and ask before continuing from the first missing durable phase instead of starting over, unless the only gap is recording the scenario backlog and the human already approved recon-to-backlog routing in the current session. If unfinished backlog scenarios remain, ask to process all of them as one approved continuous loop rather than asking for confirmation one scenario or range at a time. If unfinished finding candidates remain, ask once to process all of them as one approved continuous triage loop.

Durable Model

The required flow is:

recon item -> routing unit -> scenario -> scenario result -> finding candidate -> triage decision -> finding

Verified findings must be recorded through scenarios/finished/, finding-candidates/, finding-triage/decisions/, and findings/. Expert analysis outside a recorded scenario may create routing input, candidate notes, or needs_context, but it should not create final findings.

Generated Run Artifacts

Treat runs/**, target source code, and generated review artifacts as run data. Do not commit target source or generated run artifacts unless the human explicitly asks for that.

Logs are structured. The tool writes logs/events.jsonl and trace.jsonl; it does not write human.log.

Artifact Discipline

All work must remain within the run folder (runs/<target>/<run-id>/). Never write intermediate analysis, scratch files, or temporary state to system temp directories (/tmp/, /var/, etc.). Instead:

• Use designated run subdirectories: results-pending/, finding-triage/decisions/, .scratch/, or create task-specific subdirs.
• All artifacts (including intermediate computation files, mappings, logs) are part of the durable engagement state.
• If intermediate state is needed only within a single agent invocation, hold it in memory; do not write to /tmp/.
• The run folder is the canonical record of the engagement. System temp files are not auditable, not archivable, and break reproducibility.