Borrowing it
Nothing to install: this file belongs to PyModel/pythinker-cli. 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/PyModel/pythinker-cli/main/AGENTS.mdgit clone --depth 1 https://github.com/PyModel/pythinker-cliWrote 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/pymodel/pythinker-cli/agents-md)<a href="https://agentmods.dev/instructions/pymodel/pythinker-cli/agents-md"><img src="https://agentmods.dev/badge/instructions/pymodel/pythinker-cli/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/pymodel/pythinker-cli/agents-md"><img src="https://agentmods.dev/badge/instructions/pymodel/pythinker-cli/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 | $0.09082 | $0.09082 |
| Opus 5.5 | $0.03633 | $0.03633 |
| Sonnet 5.5 | $0.01816 | $0.01816 |
| Haiku 4.5 | $0.00908 | $0.00908 |
Grade A, and why
pythinker-cli 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 — 596 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pythinker CLI Agent Instructions
This file is the root guidance for AI agents working in this repository. It is injected into
Pythinker sessions via PYTHINKER_AGENTS_MD; keep it durable, portable, and focused on rules
that should apply across many tasks.
Local-only instructions
If AGENTS.local exists at the repository root, read it after this file for machine-specific or
private local instructions. AGENTS.local is intentionally gitignored; do not commit it or copy its
contents into tracked files. Local instructions may add workflow details, but they must not weaken
or override this repository's non-negotiable rules.
Mission
Pythinker CLI is a Python CLI agent for software engineering workflows. It supports an interactive shell UI, ACP server mode for IDE integrations, MCP tool loading, background work, subagents, skills, web/visualization UIs, and multi-provider LLM authentication.
Feature Development Standard
Build every feature as production code, not a happy-path demo. Before implementing, answer: what the feature does, who or what calls it, its inputs, its outputs and side effects, how it can fail, what happens on failure, which edge cases apply, and what test proves it works. If requirements are ambiguous, make the safest reasonable assumption and document it — only block when the missing detail would change the implementation.
Handle the failure and edge cases, not just the happy path: missing / empty / invalid / malformed input, unauthorized access, expired tokens, timeouts and network errors, partial success, concurrent or duplicate requests, rate limits, large payloads, stale cache, missing records, retry exhaustion, cancellation, and rollback/cleanup failure. Never silently ignore an unexpected state.
Make errors explicit: typed or categorized, logged with actionable context, recoverable where
possible, and safe to surface — never leaking secrets, tokens, or stack traces. No bare
except/catch that swallows the error. For feature work this restates the Failure truthfulness
contract and C01–C15 tripwires below; ship the matching tests and verification with the feature.
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 · 596 lines · 9,082 tokens per session scan A ed6c494a51f5
pythinker-cli AGENTS.md is an instructions file published in the GitHub repository PyModel/pythinker-cli (21 stars, last pushed 3d ago), licensed Apache-2.0. It adds 9,082 tokens to every session, about $0.0363 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
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).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.