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 skills add backbay-labs/thrunt-god --skill thrunt-forensicsgit clone --depth 1 https://github.com/backbay-labs/thrunt-godWrote 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/skills/backbay-labs/thrunt-god/thrunt-forensics)<a href="https://agentmods.dev/skills/backbay-labs/thrunt-god/thrunt-forensics"><img src="https://agentmods.dev/badge/skills/backbay-labs/thrunt-god/thrunt-forensics/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/backbay-labs/thrunt-god/thrunt-forensics"><img src="https://agentmods.dev/badge/skills/backbay-labs/thrunt-god/thrunt-forensics.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00030 | $0.00518 |
| Opus 5 | $0.00015 | $0.00259 |
| Sonnet 5 | $0.00006 | $0.00104 |
| Haiku 4.5 | $0.00003 | $0.00052 |
Grade A, and why
thrunt-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 12d ago.
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.
This is a copy
88% identical to gsd-forensics — 21 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Purpose: Diagnose failed or stuck workflows so the user can understand root cause and take corrective action.
Output: Forensic report saved to .planning/forensics/, presented inline, with optional issue creation.
<execution_context> @.github/thrunt-god/workflows/forensics.md </execution_context>
User input:
- Problem description: $ARGUMENTS (optional — will ask if not provided)
<success_criteria>
- Evidence gathered from all available data sources
- At least 4 anomaly types checked (stuck loop, missing artifacts, abandoned work, crash/interruption)
- Structured forensic report written to
.planning/forensics/report-{timestamp}.md - Report presented inline with findings, anomalies, and recommendations
- Interactive investigation offered for deeper analysis
- GitHub issue creation offered if actionable findings exist </success_criteria>
<critical_rules>
- Read-only investigation: Do not modify project source files during forensics. Only write the forensic report and update STATE.md session tracking.
- Redact sensitive data: Strip absolute paths, API keys, tokens from reports and issues.
- Ground findings in evidence: Every anomaly must cite specific commits, files, or state data.
- No speculation without evidence: If data is insufficient, say so — do not fabricate root causes. </critical_rules>
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.
- 12d ago First seen · 52 lines · 30 tokens per session scan A 91d3c1ab51d3
thrunt-forensics is a skill published in the GitHub repository backbay-labs/thrunt-god (36 stars, last pushed 2mo ago), licensed MIT. It adds 30 tokens to every session and 518 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to gsd-forensics, differing in 21 lines, and is treated as a copy.
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