Borrowing it
Nothing to install: this file belongs to baizhiyuan/finding-unknowns-skill. 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/baizhiyuan/finding-unknowns-skill/main/AGENTS.mdgit clone --depth 1 https://github.com/baizhiyuan/finding-unknowns-skillWrote 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/instructions/baizhiyuan/finding-unknowns-skill/agents-md)<a href="https://agentmods.dev/instructions/baizhiyuan/finding-unknowns-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/baizhiyuan/finding-unknowns-skill/agents-md.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 | $0.00577 | $0.00577 |
| Opus 5 | $0.00289 | $0.00289 |
| Sonnet 5 | $0.00115 | $0.00115 |
| Haiku 4.5 | $0.00058 | $0.00058 |
Grade A, and why
finding-unknowns-skill AGENTS.md 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repository guide for coding agents
This file orients AI coding agents (and human contributors) working on this repository.
It is about maintaining the project — for what the skill does at runtime, read
skills/finding-unknowns/SKILL.md.
Layout and single-source-of-truth rules
| Path | Role | Rule |
|---|---|---|
skills/finding-unknowns/SKILL.md |
The protocol | The ONLY place procedure lives. All behavioural changes happen here first. |
commands/*.md |
Slash-command dispatchers | Thin: name a SKILL.md section and pass $ARGUMENTS. Never restate procedure. |
agents/*.md |
Specialist subagents | Each declares tools, model tier, and an I/O contract. Keep read-only agents read-only. |
docs/ARCHITECTURE.md |
Design reference | Update when layers/contracts change. |
CLAUDE.md |
Passive drop-in | A lightweight summary of the skill; keep consistent with SKILL.md after edits. |
EXAMPLES.md |
User-facing prompts | Keep consistent with SKILL.md after edits. |
Invariants to preserve
- YAML frontmatter values containing
:must be quoted (a colon in an unquoted description has broken parsing before). blindspot-scoutandquiz-masterstay read-only (no Write/Edit intools:).prototype-smithwrites throwaway files only;ledger-keepertouches only the ledger.- Every technique must remain runnable inline — no hard dependency on agents or commands.
- Preserve the attribution block (Thariq Shihipar / @trq212) and the non-affiliation disclaimer in SKILL.md, README.md, and CLAUDE.md.
After any change
- Validate:
python3 -c "import yaml,glob; [yaml.safe_load(open(p).read().split('---',2)[1]) for p in ['skills/finding-unknowns/SKILL.md']+glob.glob('agents/*.md')+glob.glob('commands/*.md')]" python3 -c "import json; json.load(open('.claude-plugin/plugin.json')); json.load(open('.claude-plugin/marketplace.json'))" for f in assets/*.svg; do python3 -c "import xml.dom.minidom; xml.dom.minidom.parse('$f')"; done bash -n install.sh - Bump
versionin.claude-plugin/plugin.json(SemVer) and add aCHANGELOG.mdentry. - Use Conventional Commits (
feat:,fix:,docs:, …).
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.
- 7d ago First seen · 39 lines · 577 tokens per session scan A efc82f22c256
finding-unknowns-skill AGENTS.md is an instructions file published in the GitHub repository baizhiyuan/finding-unknowns-skill (5 stars, last pushed 2mo ago), licensed MIT. It adds 577 tokens to every session, about $0.0029 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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