Borrowing it
Nothing to install: this file belongs to H-Ali13381/recursive-agent-improvement. 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/H-Ali13381/recursive-agent-improvement/main/AGENTS.mdgit clone --depth 1 https://github.com/H-Ali13381/recursive-agent-improvementWrote 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/h-ali13381/recursive-agent-improvement/agents-md)<a href="https://agentmods.dev/instructions/h-ali13381/recursive-agent-improvement/agents-md"><img src="https://agentmods.dev/badge/instructions/h-ali13381/recursive-agent-improvement/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/h-ali13381/recursive-agent-improvement/agents-md"><img src="https://agentmods.dev/badge/instructions/h-ali13381/recursive-agent-improvement/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 | $0.00236 | $0.00236 |
| Opus 5.5 | $0.00094 | $0.00094 |
| Sonnet 5.5 | $0.00047 | $0.00047 |
| Haiku 4.5 | $0.00024 | $0.00024 |
Grade A, and why
recursive-agent-improvement 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 Notes
This repository publishes one Agent Skill: recursive-agent-improvement.
Canonical files:
SKILL.mdis the source of truth for the skill.assets/pytorch-training-pipeline/contains the bundled specialist-training template referenced by the skill..agents/skills/recursive-agent-improvement/is a cross-client discovery mirror containing the sameSKILL.mdand bundled assets.
When editing the skill, update the root SKILL.md and assets/ first, then copy them to the mirror path so the discoverable package stays complete.
Related skill:
tier-1-2-3-skill-system: https://github.com/H-Ali13381/tier-1-2-3-skill-system
Installability check:
npx skills add H-Ali13381/recursive-agent-improvement --list
Validation check:
npx skill-tools check .
npx skill-tools check .agents/skills
Do not add private paths, secrets, local debug notes, model weights, generated reports, or session-specific history to this public skill artifact.
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 · 31 lines · 236 tokens per session scan A fd63f91610f0
recursive-agent-improvement AGENTS.md is an instructions file published in the GitHub repository H-Ali13381/recursive-agent-improvement (3 stars, last pushed 5mo ago), licensed MIT. It adds 236 tokens to every session, about $0.0009 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.
recursive-agent-improvement AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| recursive-agent-improvement AGENTS.mdH-Ali13381/recursive-agent-improvement | Instructions file | 3 | 5mo ago | MIT | A | 236 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 275k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |