Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/salavender/antigravity-compound-engineering-pluginnpx agentmods add skills/salavender/antigravity-compound-engineering-plugin/compound-docsWrote 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/salavender/antigravity-compound-engineering-plugin/compound-docs)<a href="https://agentmods.dev/skills/salavender/antigravity-compound-engineering-plugin/compound-docs"><img src="https://agentmods.dev/badge/skills/salavender/antigravity-compound-engineering-plugin/compound-docs/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/skills/salavender/antigravity-compound-engineering-plugin/compound-docs"><img src="https://agentmods.dev/badge/skills/salavender/antigravity-compound-engineering-plugin/compound-docs.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 | $0.00010 | $0.00744 |
| Opus 5.5 | $0.00004 | $0.00298 |
| Sonnet 5.5 | $0.00002 | $0.00149 |
| Haiku 4.5 | $0.00001 | $0.00074 |
Grade A, and why
compound-docs 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 1mo 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.
This is a copy
100% identical to compound-docs — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Compound Documentation Skill
Manages solution documentation in docs/solutions/ for knowledge persistence across sessions.
Overview
When you solve a problem, document it so the solution can be found and reused later.
What do you want to do?
- Document a solution → Use
/compoundworkflow - Find existing solutions → See "Searching Solutions" below
- Promote to pattern → See "Pattern Promotion" below
- Validate schema → See "YAML Validation" below
Instrumentation
# Log usage when using this skill
./scripts/log-skill.sh "compound-docs" "manual" "$$"
Searching Solutions
# Search by keyword
grep -r "keyword" docs/solutions/
# Search by tag
grep -l "tags:.*performance" docs/solutions/**/*.md
# Search by problem type
ls docs/solutions/performance-issues/
Pattern Promotion
When an issue occurs 3+ times:
-
Search for similar solutions:
grep -r "similar terms" docs/solutions/ -
Add to critical patterns:
# Edit docs/solutions/patterns/critical-patterns.md -
Format:
### Pattern #{N}: {Name} **Problem:** {What goes wrong} **❌ WRONG:** ```code {incorrect}✅ CORRECT:
{correct}
YAML Validation
All solutions must have valid frontmatter:
---
date: "YYYY-MM-DD"
problem_type: "{from schema.yaml}"
severity: "critical|high|medium|low"
symptoms:
- "symptom 1"
root_cause: "{from schema.yaml}"
tags:
- tag1
---
See docs/solutions/schema.yaml for valid enum values.
Documenting Failures & Learnings
When documenting solutions, capture the full journey:
What to Include
- ✅ Failed attempts with explanations
- ✅ Incorrect assumptions and corrections
- ✅ Key insights from mistakes
- ✅ Course corrections and why
- ✅ Time investment (helps prioritize future similar issues)
Example Pattern
## Investigation Steps
| Attempt | Hypothesis | Result |
|---------|------------|--------|
| 1. Check API logs | API might be timing out | ❌ No timeouts found |
| 2. Review database queries | N+1 query suspected | ❌ Queries were optimized |
| 3. Check cache invalidation | Cache might be stale | ✅ Found cache not clearing |
## Lessons Learned
### Mistakes Made
- **Assumption:** Assumed the API was the bottleneck
- **Why wrong:** Didn't check cache layer first
- **Correction:** Should always check cache before API
### Key Breakthrough
- **Insight:** Realized cache invalidation logic was only running on UPDATE, not DELETE
- **Impact:** Led directly to the solution
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.
- 1mo ago First seen · 134 lines · 10 tokens per session scan A 1c3b6401c330
compound-docs is a skill published in the GitHub repository salavender/antigravity-compound-engineering-plugin (48 stars, last pushed 1mo ago), licensed MIT. It adds 10 tokens to every session and 744 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to compound-docs, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…