Borrowing it
Nothing to install: this file belongs to intertwine/dspy-agent-skills. 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/intertwine/dspy-agent-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/intertwine/dspy-agent-skillsWrote 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/intertwine/dspy-agent-skills/agents-md)<a href="https://agentmods.dev/instructions/intertwine/dspy-agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/intertwine/dspy-agent-skills/agents-md.svg" alt="Measured on agentmods" 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 | $0.00734 | $0.00734 |
| Opus 5 | $0.00367 | $0.00367 |
| Sonnet 5 | $0.00147 | $0.00147 |
| Haiku 4.5 | $0.00073 | $0.00073 |
Grade A, and why
dspy-agent-skills AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 32 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repository Guidelines
Project Structure & Module Organization
This repository packages DSPy 3.2.x agent skills for Claude Code, Codex CLI, and other agentskills.io-compatible tools. The main product lives in skills/: each skills/<skill-name>/ directory contains a required SKILL.md, optional reference.md, and runnable example_*.py files. End-to-end validation demos live in examples/, with shared helpers in examples/common/ and per-demo data under examples/*/data/. Tests are in tests/, distribution metadata is in .claude-plugin/, installation tooling is in scripts/, and contributor/user docs are in docs/.
Build, Test, and Development Commands
uv run --with pytest python -m pytest tests/ -vvalidates manifests, skill frontmatter, and example syntax.for f in skills/*/example_*.py; do uv run --with dspy python "$f" --dry-run; donesmoke-tests skill examples without LM credentials../scripts/install.shsymlinks skills into both~/.claude/skills/and~/.agents/skills/../scripts/install.sh --uninstallremoves those local installs.DSPY_TASK_MODEL=openrouter/liquid/lfm-2.5-1.2b-instruct:free uv run --with dspy --with python-dotenv python examples/02-math-reasoning/run.py --optimize --auto light --seed 0runs a live GEPA example.
If uv run --with dspy resolves an older DSPy release, check for a local resolver policy such as UV_EXCLUDE_NEWER. The exact DSPy 3.2.1 override validated in this repo is env -u UV_EXCLUDE_NEWER uv run --with dspy==3.2.1 ....
Coding Style & Naming Conventions
Use Python 3.10+ and keep examples small, readable, and dry-run capable. Prefer 4-space indentation, typed helper functions, and explicit imports. Skill directory names and SKILL.md frontmatter name values must be matching kebab-case, for example dspy-gepa-optimizer. Keep SKILL.md concise; place deeper API detail in reference.md.
Testing Guidelines
Pytest is the validation framework. Add or update tests when changing manifests, metadata rules, example structure, or installer behavior. Every skills/*/example_*.py file must parse as Python and expose --dry-run so CI can validate it without API keys. Run the full pytest command before opening a PR; live GEPA runs are useful for releases but are not required for every doc-only edit.
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.
- 7d ago First seen · 32 lines · 734 tokens per session scan A 0845dd6d184b
dspy-agent-skills AGENTS.md is an instructions file published in the GitHub repository intertwine/dspy-agent-skills (277 stars, last pushed yesterday), licensed MIT. It adds 734 tokens to every session, about $0.0037 per session on Opus 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
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.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
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.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.