Compound Engineering is a plugin that organizes software work into brainstorming, planning, implementation, review, and recording lessons for future changes. It is used with AI coding agents including Claude Code, Cursor, and Codex, and the catalogue entries provide parts of its agent, skill, command, and hook workflow.
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 skills add EveryInc/compound-engineering-plugin --skill ce-riffrec-feedback-analysisgit clone --depth 1 https://github.com/EveryInc/compound-engineering-pluginWrote 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/everyinc/compound-engineering-plugin/ce-riffrec-feedback-analysis)<a href="https://agentmods.dev/skills/everyinc/compound-engineering-plugin/ce-riffrec-feedback-analysis"><img src="https://agentmods.dev/badge/skills/everyinc/compound-engineering-plugin/ce-riffrec-feedback-analysis/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/everyinc/compound-engineering-plugin/ce-riffrec-feedback-analysis"><img src="https://agentmods.dev/badge/skills/everyinc/compound-engineering-plugin/ce-riffrec-feedback-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector pass
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 | $0.00055 | $0.00564 |
| Opus 5.5 | $0.00022 | $0.00226 |
| Sonnet 5.5 | $0.00011 | $0.00113 |
| Haiku 4.5 | $0.00006 | $0.00056 |
Grade A, and why
ce-riffrec-feedback-analysis 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.
How it starts
The opening of the file, as written. The whole thing — 34 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Riffrec Feedback Analysis
Turn raw product feedback into structured evidence for downstream agents. This skill is the consumption side of Riffrec, a capture tool that records synchronized screen + voice + event sessions and emits a riffrec-*.zip bundle.
Done:
- Setup ends with a current capture/share path.
- Quick analysis ends with one evidence-backed bug report and no durable artifact unless requested.
- Extensive analysis ends with the complete evidence set and a
ce-brainstormhandoff unless the user asked for extraction only. - A missing input, analyzer failure, or unresolved route ends with an actionable blocker rather than a partial success claim.
Choose the path
Route from the input. Read only the references named for that route; do not load the other path references.
- Setup — user has no recording yet and asks how to install Riffrec, capture a session, or share feedback. Read
references/install-riffrec.md. - Quick bug report — input is a short recording (under ~60 seconds), the user describes a single specific issue, or asks for "quick", "small", or "just transcribe". Read
references/analyzer.md, thenreferences/quick-bug-report.md. - Extensive analysis — input is longer, contains multiple issues, requirements, or a workflow walkthrough, or the user wants requirements material. Read
references/analyzer.md, thenreferences/extensive-analysis.md. Continue intoce-brainstormunless the user explicitly asked only to extract or analyze artifacts.
When the input is ambiguous (e.g., a zip arrived without context), inspect the recording length and event count before choosing. If still unclear, ask the user which path applies before running anything heavy.
Common rules
- Keep raw recordings, audio chunks, zip contents, session dumps, and extracted screenshots local-only by default. Do not commit
raw/orframes/directories unless the user explicitly asks and privacy is acceptable. - Text/metadata artifacts (requirements kickoff material, analysis summaries, problem analyses, source manifests) may be committed when they are needed for traceability and contain no sensitive data.
- Use repo-relative screenshot paths in any committed doc so later agents can open the evidence without absolute local paths.
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 34 lines · 55 tokens per session scan A bb26288e4494
ce-riffrec-feedback-analysis is a skill published in the GitHub repository EveryInc/compound-engineering-plugin (25,625 stars, last pushed today), licensed MIT. It adds 55 tokens to every session and 564 once invoked, about $0.0002 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.
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