Borrowing it
Nothing to install: this file belongs to karthikrshet/ClaudeMark. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/karthikrshet/ClaudeMark/main/.agents/skills/ai-forensics/SKILL.mdgit clone --depth 1 https://github.com/karthikrshet/ClaudeMarkWrote 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/karthikrshet/claudemark/ai-forensics)<a href="https://agentmods.dev/skills/karthikrshet/claudemark/ai-forensics"><img src="https://agentmods.dev/badge/skills/karthikrshet/claudemark/ai-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/karthikrshet/claudemark/ai-forensics"><img src="https://agentmods.dev/badge/skills/karthikrshet/claudemark/ai-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 | $0.00028 | $0.00484 |
| Opus 5 | $0.00014 | $0.00242 |
| Sonnet 5 | $0.00006 | $0.00097 |
| Haiku 4.5 | $0.00003 | $0.00048 |
Grade A, and why
ai-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 10d 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
AI Forensics & Watermark Analysis Skill
Use this skill to inspect, analyze, disrupt, and sanitize AI watermarks and provenance metadata from text, documents, and images on content the user owns or is authorized to process.
Available Actions
1. Statistical Watermark Analysis
Analyze text for subtle generative sampling biases and statistical regularities:
python claudemark.py analyze "<text>" --algorithm claude
2. Unicode & Steganography Inspection
Inspect and visualize hidden zero-width characters (<ZWSP>, <BOM>, <RLO>):
python claudemark.py unicode inspect file.txt
python claudemark.py unicode visualize file.txt
python claudemark.py unicode clean file.txt -o clean.txt
3. Best-Effort Statistical Watermark Disruption
Restructure cadence and rotate high-frequency transition tokens:
python claudemark.py rewrite file.txt -o rewritten.txt --strategy synonym_cadence
python claudemark.py evaluate file.txt rewritten.txt
4. File Provenance & Document Cleaning
Scrub metadata from 10 document and image formats (PDF, DOCX, ODT, HTML, MD, TXT, PNG, JPEG, WebP, SVG):
python claudemark.py inspect document.pdf
python claudemark.py clean document.pdf -o clean.pdf
5. Defensive Security Scanner
Scan files for zip bombs, malicious PDF actions, macros, and path traversal:
python claudemark.py security scan upload.pdf
REST API Integration
If the server is running on http://127.0.0.1:8765:
- Analyze Text:
POST /api/analyze{"text": "..."} - Inspect Unicode:
POST /api/unicode/analyze{"text": "..."} - Clean File:
POST /clean{"file": "<base64>", "name": "doc.pdf"} - Agent Tool Dispatch:
POST /api/agent/exec{"tool_name": "...", "arguments": {...}}
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.
- 10d ago First seen · 52 lines · 28 tokens per session scan A 51ea0eba9ca3
ai-forensics is a skill published in the GitHub repository karthikrshet/ClaudeMark (9 stars, last pushed 16d ago), licensed MIT. It adds 28 tokens to every session and 484 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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