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 FerroxLabs/ferrox-factory --skill ferrox-forensicsgit clone --depth 1 https://github.com/FerroxLabs/ferrox-factoryWrote 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/ferroxlabs/ferrox-factory/ferrox-forensics)<a href="https://agentmods.dev/skills/ferroxlabs/ferrox-factory/ferrox-forensics"><img src="https://agentmods.dev/badge/skills/ferroxlabs/ferrox-factory/ferrox-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 5.1 | $0.00025 | $0.00503 |
| Opus 5 | $0.00013 | $0.00251 |
| Sonnet 5 | $0.00005 | $0.00101 |
| Haiku 4.5 | $0.00003 | $0.00050 |
Grade A, and why
ferrox-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 3d 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
91% identical to gsd-forensics — 8 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> @~/.claude/ferrox-core/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.
- 3d ago First seen · 57 lines · 25 tokens per session scan A 5a0e12d04684
ferrox-forensics is a skill published in the GitHub repository FerroxLabs/ferrox-factory (22 stars, last pushed 1mo ago), licensed MIT. It adds 25 tokens to every session and 503 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to gsd-forensics, differing in 8 lines, and is treated as a copy.
Other skills, from other repositories
debug-optimize-lcp
Guides debugging and optimizing Largest Contentful Paint (LCP) using Chrome DevTools MCP tools. Use this skill whenever the user asks about LCP performance, slow page loads, Core Web Vitals optimization, or wants to understand why their page's main content takes too long to appear. Also use when the user mentions…
systematic-debugging
Use when debugging a failing test, build error, or runtime issue that isn't immediately obvious. Guides a 4-phase root cause analysis instead of random fix attempts.
diagnose
Trace from a reproduced symptom to the source code that causes it. Pin the specific file and approximate line, rate confidence in the cause and clarity of the fix independently, and always propose a concrete fix.
repro-admin
Reproduce an EmDash admin UI bug. Attach a container, start the demo dev server, drive the admin with agent-browser using the dev-bypass session, and capture the reproduction as screenshots plus a replayable transcript.
log-error-digest
Analyze log files to troubleshoot errors, identify peak error periods, and produce error clustering, frequency statistics, and time distribution reports. Supports JSON, syslog, and Nginx formats with automatic detection. Use when a user uploads a .log file and asks to analyze errors, find patterns, debug issues, or…
byted-util-volcengine-detect-retry
An orchestration workflow for Volcengine Cloud Detect, a service that checks websites or network endpoints from test locations.