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-resolve-pr-feedbackgit 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-resolve-pr-feedback)<a href="https://agentmods.dev/skills/everyinc/compound-engineering-plugin/ce-resolve-pr-feedback"><img src="https://agentmods.dev/badge/skills/everyinc/compound-engineering-plugin/ce-resolve-pr-feedback/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-resolve-pr-feedback"><img src="https://agentmods.dev/badge/skills/everyinc/compound-engineering-plugin/ce-resolve-pr-feedback.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Data Exfiltration · line 49 Code or instructions that leak agent conversation context to external services, potentially exposing sensitive user interactions.Fix: Remove any code that sends prompts, responses, or session data externally. Preserve user privacy; never exfiltrate conversation content.
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 | $0.00060 | $0.01377 |
| Opus 5.5 | $0.00024 | $0.00551 |
| Sonnet 5.5 | $0.00012 | $0.00275 |
| Haiku 4.5 | $0.00006 | $0.00138 |
Grade A, and why
ce-resolve-pr-feedback 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 19d 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 — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Resolve PR Review Feedback
Judge fresh PR review feedback centrally, then dispatch generic subagents seeded with the bundled fixer prompt only for approved fixes. Publish the fixes before replying and resolving. Resume completes saved judgments without another fix pass.
Done: Every selected item has a verdict and verified conversation completion or a reported residual. Completed threads have a visible submitted reply with quoted context and authoritative resolution; needs-human threads stay open. Ordinary and pipeline runs publish valid fixes before completion. Return-to-caller preserves its local fix commit and exact pending actions in a readable validated handoff, or records actual no-change completion. Resume verifies fresh publication and returns checkpointed completion or pending saved actions with retry evidence. Pending actions are never reported as resolved.
Escalations never block. Return needs-human with structured decision_context for the caller to show the user; leave its threads open with natural replies when the execution mode permits publication. Never pause mid-run to ask. A decision needing judgment rather than missing authority goes through ce-pov before escalation, as the rubric's "Adjudicate before escalating" section defines.
mode:pipeline publishes and completes feedback unattended. Read references/pipeline-mode.md before acting; it owns typed decision returns, trajectory-based non-convergence, and per-root invariant keys.
Caller authority: Invocation never grants authority beyond the caller's inherited user scope. Pipeline can fix, commit, push, reply, resolve and tick eligible checklist findings. Return-to-caller owns preparation; resume owns saved completion. All three exclude merge, rebase, force-push and CI approval, and never call a blocking-question tool. Narrow the scope when necessary; an excluded action becomes a needs-human residual.
mode:return-to-caller: Read references/return-to-caller.md before fetching or editing. Validate and commit fix-owned changes locally, never push. A fix batch saves its entire remote tail for caller publication, including reply-only items, human acknowledgments, resolutions and checklist ticks. A no-change batch may complete through the existing remote protocol and records actual progress.
mode:resume handoff:<path>: Read references/resume.md before PR detection or remote action. Complete only saved replies, resolutions and checklist ticks after fresh publication proof. Do not repeat judgment, edits, validation, commits or pushes. Unknown publication or invalidated context remains pending.
Default to fixing fresh feedback, including nitpicks. Judge each item on its merits regardless of source or form. Divert only on concrete evidence encountered while reading the code. Read references/evaluation-rubric.md before judging; it defines the reasons to divert and their evidence.
PR findings checklist: For each bullet in an existing ## Unapplied review findings section whose file and concern a published fix closes, tick it to - [x]; never add to, reorder, or create that section, or use it to record escalations. Return-to-caller saves intended ticks until publication is verified.
What ships with it
12 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.
- references/agents/pr-comment-resolver.md 5.6 KB
- references/evaluation-rubric.md 19 KB
- references/full-mode.md 31 KB
- references/pipeline-mode.md 3.8 KB
- references/resume.md 8.0 KB
- references/return-to-caller.md 8.8 KB
- references/targeted-mode.md 6.3 KB
- scripts/get-pr-comments 6.8 KB
- scripts/get-thread-for-comment 2.8 KB
- scripts/pending-feedback.py 14 KB runs code
- scripts/reply-to-pr-thread 1.7 KB
- scripts/resolve-pr-thread 406 B
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.
- 19d ago Changed · +1 lines · +24 tokens per session c1f7d4d14e93
- 22d ago Changed 8da6e9ce4c72
- 28d ago Changed 60be75d305ff
- 1mo ago Changed 09e7771fc464
- 1mo ago Changed 5411dbae45b8
- 1mo ago First seen · 60 lines · 36 tokens per session scan A 58228522c4aa
ce-resolve-pr-feedback is a skill published in the GitHub repository EveryInc/compound-engineering-plugin (25,625 stars, last pushed today), licensed MIT. It adds 60 tokens to every session and 1,377 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.
Other skills, from other repositories
superpowers-requesting-code-review
Use when completing tasks, implementing major features, or before merging to verify work meets requirements.
pr
Draft a PR body from OMC's paper trail — the smallest visual that proves the change, evidence consumed from the verify protocol (never re-collected), reversibility from the ADR test on the diff, glossary language throughout.
merge-batch
Prepare and merge an owner-selected PR batch with contributor credit and exact-candidate admission. Use for a pasted PR list; combined focused validation is diagnostic, and every actual landing still requires its applicable checks and authorization.
otto-pr-review-loop
Run Polly and OCR on a PR until all findings settle.
engram-branch-pr
PR creation workflow for Engram following the issue-first enforcement system. Trigger: When creating a pull request, opening a PR, or preparing changes for review.
github-contributor
A step-by-step guide for contributing code, tests, documentation, or build changes to open-source projects you do not maintain. It explains how to prepare a pull request that follows the project’s rules and is easier for maintainers to review.