Borrowing it
Nothing to install: this file belongs to 0xmariowu/Autosearch. 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/0xmariowu/Autosearch/main/CLAUDE.mdgit clone --depth 1 https://github.com/0xmariowu/AutosearchWrote 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/0xmariowu/autosearch/claude-md)<a href="https://agentmods.dev/instructions/0xmariowu/autosearch/claude-md"><img src="https://agentmods.dev/badge/instructions/0xmariowu/autosearch/claude-md/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/instructions/0xmariowu/autosearch/claude-md"><img src="https://agentmods.dev/badge/instructions/0xmariowu/autosearch/claude-md.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 | $0.02505 | $0.02505 |
| Opus 5 | $0.01252 | $0.01252 |
| Sonnet 5 | $0.00501 | $0.00501 |
| Haiku 4.5 | $0.00250 | $0.00250 |
Grade C, and why
Autosearch CLAUDE.md scanned grade C with 2 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 9d 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
- Re-install: `curl -fsSL https://raw.githubusercontent.com/0xmariowu/autosearch/main/scripts/install.sh | bash` Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Re-install: `curl -fsSL https://raw.githubusercontent.com/0xmariowu/autosearch/main/scripts/install.sh | bash` How it starts
The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AutoSearch — Project Rules
Behavioral rules for AI agents and human contributors working in this codebase.
What this is
A self-improving search system. The human provides intent. The AI does everything else: understand the goal, generate strategies, run them across all platforms, score results, reflect, iterate, and harvest.
Local test (run before push)
.venv/bin/python -m pytest tests/unit/ -x -q -m "not real_llm and not slow and not network"
Fast subset only (~4s). Full suite runs in CI.
Session Checklist
- If working on AVO/skills → read § AVO rules below
- If working on search quality → read
PRINCIPLES.md
Workflow
- Branch:
feature/{desc},fix/{desc}— don't develop on main - Commit:
{type}: {description}(feat/fix/refactor/test/docs/chore) - One commit = one logical change. Commit sequence: source code first, tests second, docs/config third. Don't batch. Because: reviewers need to verify tests cover exactly the code that changed.
- Feature commits without corresponding test commits will not pass review. Because: untested features are untested assumptions.
- Don't stage the entire repo (
git add ./git add -A). Stage specific files only. Because: prevents accidental inclusion of debug files, env changes, or unrelated edits. - Don't stage
.env*, credentials,node_modules/,__pycache__/, or.git/internals. Because: these files contain secrets or generated content that must not enter version control. - Don't modify linter or formatter config to suppress errors. Fix the code, not the config. Because: suppressing errors hides real problems and compounds technical debt.
- Run
ruff check && ruff format --checkbefore commit. Because: pushing lint failures wastes CI time and blocks other PRs. - Tests:
pytest -x -qmust pass before push. - PR stays under 5 commits. Larger → split into smaller PRs first. Because: oversized PRs don't get meaningful review.
- PR requires review before merge — don't self-merge. Because: self-review misses what a second pair of eyes catches.
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.
- 9d ago First seen · 125 lines · 2,505 tokens per session scan C 3baaf263ca9a
Autosearch CLAUDE.md is an instructions file published in the GitHub repository 0xmariowu/Autosearch (43 stars, last pushed 1mo ago), licensed MIT. It adds 2,505 tokens to every session, about $0.0125 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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