Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add commands/tatargabor/set-copilot/forensicsgit clone --depth 1 https://github.com/tatargabor/set-copilotWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/tatargabor/set-copilot/forensics)<a href="https://agentmods.dev/commands/tatargabor/set-copilot/forensics"><img src="https://agentmods.dev/badge/commands/tatargabor/set-copilot/forensics.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00000 | $0.00819 |
| Opus 5 | $0.00000 | $0.00409 |
| Sonnet 5 | $0.00000 | $0.00164 |
| Haiku 4.5 | $0.00000 | $0.00082 |
Grade A, and why
forensics scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Forensic analysis of a completed orchestration run.
Input: <run-id> (the e2e-runs directory name, e.g. craftbrew-run-20260421-0025). If omitted, ask the user which run to analyse.
You are debugging a completed orchestration run. Use set-run-logs to surface filtered views over Claude Code session transcripts + orchestration logs without dragging raw 300+ KB jsonl files into context.
CRITICAL: never read raw session jsonl unbounded
A single session jsonl can exceed 300 KB; a run has 50+ sessions. Always use the CLI's filtered views FIRST. Only fall back to Read on a specific line range after the CLI has narrowed the suspect.
Triage flow (follow in order)
-
Discover:
set-run-logs <run-id> discoverConfirms which session dirs (main + each worktree) and orchestration artifacts were found.
-
Digest — get the error map:
set-run-logs <run-id> digestAggregates
tool_error,bash_nonzero_exit,stop_reason_anomaly,user_interrupt,permission_denial, andcrash_suspectsignals across every session, grouped by change → session → tool with snippets and counts. -
Drill into suspect sessions — for each suspect from the digest:
set-run-logs <run-id> session <uuid-prefix> --errors-onlyThe UUID prefix from the digest (e.g.
531d481b) is enough — minimum 6 chars. Use--tool <Bash|Edit|Read|...>to narrow further. -
Targeted probes — when a specific error signature matters:
set-run-logs <run-id> grep "<pattern>" set-run-logs <run-id> grep "EACCES" --tool Bash set-run-logs <run-id> grep "MaxToken" -i --limit 100Emits only the matching
message.contenttext, never raw jsonl. Default cap is 50 matches — raise with--limitonly when you must. -
Cross-reference orchestration timing:
set-run-logs <run-id> orchestrationPer-change dispatch counts, last gate status, terminal status (e.g.
MERGE_SUCCESS,FIX_ISS_ESCALATED), gate-outcome totals. Use this to map a suspect session back to the engine's view.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- today First seen · 72 lines · 0 tokens per session scan A 32faa7ce0bd1
forensics is a command published in the GitHub repository tatargabor/set-copilot (2 stars, last pushed 12d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 819 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-04.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.