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 skills/sairam0424/mindforge/mindforge-forensicsnpx skills add sairam0424/MindForge --skill mindforge-forensicsgit clone --depth 1 https://github.com/sairam0424/MindForgeWrote 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/sairam0424/mindforge/mindforge-forensics)<a href="https://agentmods.dev/skills/sairam0424/mindforge/mindforge-forensics"><img src="https://agentmods.dev/badge/skills/sairam0424/mindforge/mindforge-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 | $0.00029 | $0.00490 |
| Opus 5 | $0.00015 | $0.00245 |
| Sonnet 5 | $0.00006 | $0.00098 |
| Haiku 4.5 | $0.00003 | $0.00049 |
Grade A, and why
mindforge-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 4d 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.
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> @.agent/workflows/mindforge-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.
- 4d ago First seen · 50 lines · 29 tokens per session scan A 937d886d74f7
mindforge-forensics is a skill published in the GitHub repository sairam0424/MindForge (0 stars, last pushed today), licensed MIT. It adds 29 tokens to every session and 490 once invoked, about $0.0001 per session on Opus 5. 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 2026-08-31.
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