Borrowing it
Nothing to install: this file belongs to hututuQQQ/sigma. 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/hututuQQQ/sigma/main/AGENTS.mdgit clone --depth 1 https://github.com/hututuQQQ/sigmaWrote 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/hututuqqq/sigma/agents-md)<a href="https://agentmods.dev/instructions/hututuqqq/sigma/agents-md"><img src="https://agentmods.dev/badge/instructions/hututuqqq/sigma/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/hututuqqq/sigma/agents-md"><img src="https://agentmods.dev/badge/instructions/hututuqqq/sigma/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 | $0.00312 | $0.00312 |
| Opus 5.5 | $0.00125 | $0.00125 |
| Sonnet 5.5 | $0.00062 | $0.00062 |
| Haiku 4.5 | $0.00031 | $0.00031 |
Grade A, and why
sigma 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.
What it actually says
Agent Instructions
Benchmark Fairness
Benchmark-directed programming is prohibited. Treat it as a serious integrity violation, not as an optimization.
Agents and harness code must not:
- Detect or branch on benchmark names, task IDs, task names, dataset names, verifier test names, package names, fixture names, artifact names, or known benchmark outputs.
- Add task-specific smoke tests, prechecks, prompts, retries, cleanup rules, or service behavior based on benchmark/task identity.
- Pass benchmark task identity, task hints, verifier failures, verifier traces, verifier stdout/stderr, rewards, scores, or hidden test details into the solving agent.
- Retry a solving attempt using verifier feedback or any other post-verifier information.
- Tune prompts, commands, package installs, assertions, file names, or heuristics to improve a known benchmark score instead of solving the user's stated task generally.
- Keep "dev-only" benchmark shortcuts in the default agent, harness, CLI, or portable runtime paths.
Allowed benchmark code is limited to neutral infrastructure:
- Selecting which benchmark task to run from an external runner.
- Packaging and launching the agent without exposing benchmark identity to the agent.
- Collecting logs, traces, summaries, verifier results, scores, and reports after the run for human inspection.
- Generic validation that is derived from user-provided commands, summary-declared commands, changed-file syntax checks, or broadly applicable project conventions.
When in doubt, remove benchmark-specific behavior. Prefer a lower score with a fair, reusable harness over any score gained from benchmark knowledge.
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 · 24 lines · 312 tokens per session scan A 9eaf9a9d8606
sigma AGENTS.md is an instructions file published in the GitHub repository hututuQQQ/sigma (11 stars, last pushed 1mo ago), licensed MIT. It adds 312 tokens to every session, about $0.0012 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 2026-08-30.
sigma AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| sigma AGENTS.mdhututuQQQ/sigma | Instructions file | 11 | 1mo ago | MIT | A | 312 | 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 |