Borrowing it
Nothing to install: this file belongs to ansari-project/ansari-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/ansari-project/ansari-skill/main/AGENTS.mdgit clone --depth 1 https://github.com/ansari-project/ansari-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/ansari-project/ansari-skill/agents-md)<a href="https://agentmods.dev/instructions/ansari-project/ansari-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/ansari-project/ansari-skill/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/ansari-project/ansari-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/ansari-project/ansari-skill/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 | $0.02103 | $0.02103 |
| Opus 5.5 | $0.00841 | $0.00841 |
| Sonnet 5.5 | $0.00421 | $0.00421 |
| Haiku 4.5 | $0.00210 | $0.00210 |
Grade A, and why
ansari-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 1mo 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- ansari-skill CLAUDE.md — 94% identical, 4 lines differ
- sourceright CLAUDE.md — 81% identical, 20 lines differ
How it starts
The opening of the file, as written. The whole thing — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ansari-skill - AI Agent Instructions
Always-On Engineering Context (hot tier)
Curated, always-on guidance — consult before deciding. Use each "consult when…" map to open the full arch.md / lessons-learned.md when relevant.
@codev/resources/arch-critical.md @codev/resources/lessons-critical.md
Note: This file follows the AGENTS.md standard for cross-tool compatibility with Cursor, GitHub Copilot, and other AI coding assistants. A Claude Code-specific version is maintained in
CLAUDE.md.
Project Overview
This project uses Codev for AI-assisted development.
Available Protocols
- SPIR: Multi-phase development with consultation (
codev/protocols/spir/protocol.md) - ASPIR: Autonomous SPIR — no human gates on spec/plan (
codev/protocols/aspir/protocol.md) - AIR: Autonomous Implement & Review for small features (
codev/protocols/air/protocol.md) - BUGFIX: Bug fixes from GitHub issues (
codev/protocols/bugfix/protocol.md) - PIR: Plan / Implement / Review — issue-driven with three human gates (plan-approval, dev-approval, pr) (
codev/protocols/pir/protocol.md) - EXPERIMENT: Disciplined experimentation (
codev/protocols/experiment/protocol.md) - MAINTAIN: Codebase maintenance (
codev/protocols/maintain/protocol.md) - RESEARCH: Multi-agent research with 3-way investigation, synthesis, and critique (
codev/protocols/research/protocol.md)
File Resolution (How Codev Finds Protocols and Templates)
Codev resolves protocol files, prompts, agent definitions, and roles through a four-tier lookup (highest priority first):
.codev/<path>— user override (project-local customization)codev/<path>— project-local copy (customized and checked in)- Runtime cache
- Installed package skeleton — ships with
@cluesmith/codev(the default for every standard protocol)
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.
- 1mo ago First seen · 163 lines · 2,103 tokens per session scan A df8e20ebe6dd
ansari-skill AGENTS.md is an instructions file published in the GitHub repository ansari-project/ansari-skill (20 stars, last pushed 1mo ago), licensed MIT. It adds 2,103 tokens to every session, about $0.0084 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.
Other instructions, from other repositories
plugin-files-mode
Rosetta Plugin Mode Bootstrap.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).