Borrowing it
Nothing to install: this file belongs to lbj96347/compete. 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/lbj96347/compete/main/AGENTS.mdgit clone --depth 1 https://github.com/lbj96347/competeWrote 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/lbj96347/compete/agents-md)<a href="https://agentmods.dev/instructions/lbj96347/compete/agents-md"><img src="https://agentmods.dev/badge/instructions/lbj96347/compete/agents-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/lbj96347/compete/agents-md"><img src="https://agentmods.dev/badge/instructions/lbj96347/compete/agents-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 | $0.00586 | $0.00586 |
| Opus 5.5 | $0.00234 | $0.00234 |
| Sonnet 5.5 | $0.00117 | $0.00117 |
| Haiku 4.5 | $0.00059 | $0.00059 |
Grade A, and why
compete 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 2mo 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 — 38 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repository Guidelines
Project Structure & Module Organization
This repository is a Claude Code Skill for competitive intelligence. skills/compete/SKILL.md defines triggers and workflow, while PRD.md and skills/compete/references/ describe the product scope and stage-specific rules. Python pipeline helpers live in skills/compete/scripts/: analyze_repo.py, discover_competitors.py, collect_intelligence.py, and build_report.py. JSON datasets at the repo root, such as product.json, competitors.json, and pricing.json, are the normalized data contract. Schemas are in skills/compete/schemas/, and the report UI template is skills/compete/templates/report.html.
Build, Test, and Development Commands
Use Python 3.9+; the scripts rely on the standard library, with optional jsonschema support.
python skills/compete/scripts/analyze_repo.py --repo . --validate
Analyzes this repository and validates product.json.
python skills/compete/scripts/build_report.py --input-dir . --output-dir ./insightkit-output
Builds report.json and the standalone report.html output. Use --open only when you want the script to launch a browser.
Coding Style & Naming Conventions
Follow the existing Python style: 4-space indentation, type hints where useful, small deterministic helpers, and explicit docstrings for pipeline entry points. Keep file names and dataset names lowercase with underscores where needed. Preserve the confidence-envelope pattern for collected values: include value, confidence, unknown, source, and provenance; when unknown is true, value must be null.
Testing Guidelines
There is no separate test suite currently. Validation is schema-driven, so run the relevant script with --validate after changing data extraction, normalization, or schemas. If you touch skills/compete/templates/report.html, skills/compete/schemas/, or skills/compete/scripts/build_report.py, regenerate insightkit-output/ and inspect the rendered report in a browser.
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.
- 2mo ago First seen · 38 lines · 586 tokens per session scan A ca7ecfc09c29
compete AGENTS.md is an instructions file published in the GitHub repository lbj96347/compete (9 stars, last pushed 4mo ago), licensed MIT. It adds 586 tokens to every session, about $0.0023 per session on Opus 5.5. 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.
compete AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| compete AGENTS.mdlbj96347/compete | Instructions file | 9 | 4mo ago | MIT | A | 586 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |