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 skills/gvkhosla/compound-engineering-pi/setupnpx skills add gvkhosla/compound-engineering-pi --skill setupgit clone --depth 1 https://github.com/gvkhosla/compound-engineering-piWhat 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 | $0.00024 | $0.01198 |
| Opus 5 | $0.00012 | $0.00599 |
| Sonnet 5 | $0.00005 | $0.00240 |
| Haiku 4.5 | $0.00002 | $0.00120 |
Grade A, and why
setup 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 3d 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
1 near-identical copy found in the catalogue:
- setup — 89% identical, 88 lines differ
How it starts
The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Compound Engineering Setup
Interaction Method
Ask the user each question below using the platform's blocking question tool (e.g., AskUserQuestion in Claude Code, request_user_input in Codex, ask_user in Gemini). If no structured question tool is available, present each question as a numbered list and wait for a reply before proceeding. For multiSelect questions, accept comma-separated numbers (e.g. 1, 3). Never skip or auto-configure.
Interactive setup for compound-engineering.local.md — configures which agents run during ce:review and ce:work.
Step 1: Check Existing Config
Read compound-engineering.local.md in the project root. If it exists, display current settings and ask:
Settings file already exists. What would you like to do?
1. Reconfigure - Run the interactive setup again from scratch
2. View current - Show the file contents, then stop
3. Cancel - Keep current settings
If "View current": read and display the file, then stop. If "Cancel": stop.
Step 2: Detect and Ask
Auto-detect the project stack:
test -f Gemfile && test -f config/routes.rb && echo "rails" || \
test -f Gemfile && echo "ruby" || \
test -f tsconfig.json && echo "typescript" || \
test -f package.json && echo "javascript" || \
test -f pyproject.toml && echo "python" || \
test -f requirements.txt && echo "python" || \
echo "general"
Ask:
Detected {type} project. How would you like to configure?
1. Auto-configure (Recommended) - Use smart defaults for {type}. Done in one click.
2. Customize - Choose stack, focus areas, and review depth.
If Auto-configure → Skip to Step 4 with defaults:
- Rails:
[kieran-rails-reviewer, dhh-rails-reviewer, code-simplicity-reviewer, security-sentinel, performance-oracle] - Python:
[kieran-python-reviewer, code-simplicity-reviewer, security-sentinel, performance-oracle] - TypeScript:
[kieran-typescript-reviewer, code-simplicity-reviewer, security-sentinel, performance-oracle] - General:
[code-simplicity-reviewer, security-sentinel, performance-oracle, architecture-strategist]
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.
- 3d ago First seen · 151 lines · 24 tokens per session scan A 52cb103ae5eb
setup is a skill published in the GitHub repository gvkhosla/compound-engineering-pi (51 stars, last pushed 4mo ago), licensed MIT. It adds 24 tokens to every session and 1,198 once invoked, about $0.0001 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 skills, from other repositories
fabric-exec
Troubleshooting and advanced API reference for fabricexec TypeScript programs, dynamic providers, agents, and schema recovery. Routine pi. coding calls are documented by ambient guidance; load this skill only after an argument-shape error or when an advanced surface needs exact contracts.
fabric-fusion
Multi-model deliberation. Two to 8 distinct models answer in parallel with web-capable tools, then a judge compares consensus, contradictions, coverage gaps, unique insights, and blind spots. Act mode runs 1–4 read-only references, then one actor reconciles and executes. Use when the cost of being wrong justifies…
fabric-rlm
Recursively decomposes oversized tasks into bounded child Pi agents with fresh context windows. Use for whole-repo audits, massive-context analysis, and multi-file refactors that do not fit one context.
fabric-schema
Uses Fabric's typed Schema evidence loop and, when enabled, its bounded local-file transaction channel. Use when surprise must void a plan and mutation claims need explicit postconditions.
fabric-workflow
Runs a dynamic Pi Fabric workflow with code-held phases, fan-out, pipelines, structured agents, and best-effort verification. Use for large audits, migrations, parallel research, or explicit workflow requests.
fabric-council
Runs a bounded multi-perspective Pi Fabric council with independent reviewers and best-effort synthesis. Use for architecture choices, plans, reviews, and adversarial cross-checking.