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/generate_commandnpx skills add gvkhosla/compound-engineering-pi --skill generate_commandgit 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/skills/gvkhosla/compound-engineering-pi/generate_command)<a href="https://agentmods.dev/skills/gvkhosla/compound-engineering-pi/generate_command"><img src="https://agentmods.dev/badge/skills/gvkhosla/compound-engineering-pi/generate_command.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 | $0.00014 | $0.00976 |
| Opus 5 | $0.00007 | $0.00488 |
| Sonnet 5 | $0.00003 | $0.00195 |
| Haiku 4.5 | $0.00001 | $0.00098 |
Grade A, and why
generate_command scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create a Custom Claude Code Command
Create a new skill in .claude/skills/ for the requested task.
Goal
#$ARGUMENTS
Key Capabilities to Leverage
File Operations:
- Read, Edit, Write - modify files precisely
- Glob, Grep - search codebase
- MultiEdit - atomic multi-part changes
Development:
- Bash - run commands (git, tests, linters)
- Task - launch specialized agents for complex tasks
- TodoWrite - track progress with todo lists
Web & APIs:
- WebFetch, WebSearch - research documentation
- GitHub (gh cli) - PRs, issues, reviews
- Playwright - browser automation, screenshots
Integrations:
- AppSignal - logs and monitoring
- Context7 - framework docs
- Stripe, Todoist, Featurebase (if relevant)
Best Practices
- Be specific and clear - detailed instructions yield better results
- Break down complex tasks - use step-by-step plans
- Use examples - reference existing code patterns
- Include success criteria - tests pass, linting clean, etc.
- Think first - use "think hard" or "plan" keywords for complex problems
- Iterate - guide the process step by step
Required: YAML Frontmatter
EVERY command MUST start with YAML frontmatter:
---
name: command-name
description: Brief description of what this command does (max 100 chars)
argument-hint: "[what arguments the command accepts]"
---
Fields:
name: Lowercase command identifier (used internally)description: Clear, concise summary of command purposeargument-hint: Shows user what arguments are expected (e.g.,[file path],[PR number],[optional: format])
Structure Your Command
# [Command Name]
[Brief description of what this command does]
## Steps
1. [First step with specific details]
- Include file paths, patterns, or constraints
- Reference existing code if applicable
2. [Second step]
- Use parallel tool calls when possible
- Check/verify results
3. [Final steps]
- Run tests
- Lint code
- Commit changes (if appropriate)
## Success Criteria
- [ ] Tests pass
- [ ] Code follows style guide
- [ ] Documentation updated (if needed)
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 · 164 lines · 14 tokens per session scan A c02cab0a2b21
generate_command is a skill published in the GitHub repository gvkhosla/compound-engineering-pi (51 stars, last pushed 4mo ago), licensed MIT. It adds 14 tokens to every session and 976 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.
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