Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/gvkhosla/compound-engineering-pi/agents-mdgit clone --depth 1 https://github.com/gvkhosla/compound-engineering-piWrote 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/gvkhosla/compound-engineering-pi/agents-md)<a href="https://agentmods.dev/instructions/gvkhosla/compound-engineering-pi/agents-md"><img src="https://agentmods.dev/badge/instructions/gvkhosla/compound-engineering-pi/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 | $0.00486 | $0.00486 |
| Opus 5 | $0.00243 | $0.00243 |
| Sonnet 5 | $0.00097 | $0.00097 |
| Haiku 4.5 | $0.00049 | $0.00049 |
Grade A, and why
compound-engineering-pi 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 4d 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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Instructions
This repository contains a Bun/TypeScript CLI that converts Claude Code plugins into other agent platform formats.
Working Agreement
- Branching: Create a feature branch for any non-trivial change. If already on the correct branch for the task, keep using it; do not create additional branches or worktrees unless explicitly requested.
- Safety: Do not delete or overwrite user data. Avoid destructive commands.
- Testing: Run
bun testafter changes that affect parsing, conversion, or output. - Output Paths: Keep OpenCode output at
opencode.jsonand.opencode/{agents,skills,plugins}. - ASCII-first: Use ASCII unless the file already contains Unicode.
Adding a New Target Provider (e.g., Codex)
Use this checklist when introducing a new target provider:
-
Define the target entry
- Add a new handler in
src/targets/index.tswithimplemented: falseuntil complete. - Use a dedicated writer module (e.g.,
src/targets/codex.ts).
- Add a new handler in
-
Define types and mapping
- Add provider-specific types under
src/types/. - Implement conversion logic in
src/converters/(from Claude → provider). - Keep mappings explicit: tools, permissions, hooks/events, model naming.
- Add provider-specific types under
-
Wire the CLI
- Ensure
convertandinstallsupport--to <provider>and--also. - Keep behavior consistent with OpenCode (write to a clean provider root).
- Ensure
-
Tests (required)
- Extend fixtures in
tests/fixtures/sample-plugin. - Add spec coverage for mappings in
tests/converter.test.ts. - Add a writer test for the new provider output tree.
- Add a CLI test for the provider (similar to
tests/cli.test.ts).
- Extend fixtures in
-
Docs
- Update README with the new
--tooption and output locations.
- Update README with the new
When to Add a Provider
Add a new provider when at least one of these is true:
- A real user/workflow needs it now.
- The target format is stable and documented.
- There’s a clear mapping for tools/permissions/hooks.
- You can write fixtures + tests that validate the mapping.
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.
- 4d ago First seen · 49 lines · 486 tokens per session scan A 9ea39afdaaad
compound-engineering-pi AGENTS.md is an instructions file published in the GitHub repository gvkhosla/compound-engineering-pi (51 stars, last pushed 4mo ago), licensed MIT. It adds 486 tokens to every session, about $0.0024 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
pi-fabric AGENTS.md
AGENTS.md instructions for monotykamary/pi-fabric, covering agents.md, golden rule: build when done, before committing, incremental checks while iterating and package manager.
TelePi AGENTS.md
Instructions for benedict2310/TelePi, covering repository guidelines, project structure & module organization, build, test, and development commands, operational commands and coding style & naming conventions.
my-pi AGENTS.md
Instructions for spences10/my-pi, covering agents.md, orientation, repository-specific skills, source of truth order and commit and changeset ownership.
LaPis AGENTS.md
Instructions for GeneGulanesJr/LaPis, covering protocols, 1. code & doc retrieval — use memory-code / memory-doc, 2. persistent memory — automatic, when to use the tools and content format.
pi-ask AGENTS.md
Instructions for eko24ive/pi-ask, covering agents.md, project scope, project goals, tech stack and commands.
pi-server AGENTS.md
Instructions for tryingET/pi-server, covering agents.md — crystallized learnings for pi-server, canonical references, architecture principles, adr-0001: atomic outcome storage and the invariant.