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 agentmods add skills/everyinc/compound-engineering-plugin/ce-product-pulsenpx skills add EveryInc/compound-engineering-plugin --skill ce-product-pulsegit 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-product-pulse)<a href="https://agentmods.dev/skills/everyinc/compound-engineering-plugin/ce-product-pulse"><img src="https://agentmods.dev/badge/skills/everyinc/compound-engineering-plugin/ce-product-pulse.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 | $0.00016 | $0.01770 |
| Opus 5 | $0.00008 | $0.00885 |
| Sonnet 5 | $0.00003 | $0.00354 |
| Haiku 4.5 | $0.00002 | $0.00177 |
Grade A, and why
ce-product-pulse 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 5d 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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Pulse
ce-product-pulse queries the product's data sources for a given time window and produces a compact, single-page report covering usage, performance, errors, and followups. The report is saved to <root>/pulse-reports/ and the key points are surfaced in chat.
Done: a report of 30-40 lines exists at <root>/pulse-reports/YYYY-MM-DD_HH-MM.md, its headlines and top followup are in chat, and Phase 3 has been reached.
Boundaries
- Read-only, everywhere. The skill does not mutate the product, the database, or any external system. Its only writes are pulse settings appended to
.compound-engineering/config.local.yaml(interview and opt-out writes stay on the local override) and the report file. MCP and other data-source tools are invoked read-only; if a tool offers write modes, do not use them. A database source must be a read-only connection — the interview refuses read-write credentials, and DB access is optional, since many products complete the pulse with analytics and tracing alone. - No PII in saved reports. No user emails, account IDs, or message content in the file written to disk.
- Read it like a founder. No hardcoded thresholds, no default "good"/"bad" labels, no alerting: present the numbers and let the reader judge.
- Single page. Target 30-40 lines. If a section is thin, leave it thin; if the report is getting long, cut.
- Not a shipping log or a dashboard replacement. Shipped work lives in the issue tracker and commit history. Deep investigation still uses the native tools; this consolidates a single-page read, and every run is saved so past pulses browse as a timeline.
Interaction Method
Default to the host's blocking question tool already in the current tool list (match by capability, not by a host-specific name). Presence in the current tool list is proof the tool exists; never call a user-facing question tool to discover whether it exists. If a matching tool is listed but unloaded, use the host's tool-discovery primitive to load that capability — do not search for another host's tool name. Fall back to numbered options on the host's user-visible chat surface only when no such tool is in the list or a real question call errors. Never silently skip the question.
What ships with it
5 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.
- 5d ago First seen · 82 lines · 16 tokens per session scan A 98a5dac77a1a
ce-product-pulse is a skill published in the GitHub repository EveryInc/compound-engineering-plugin (24,821 stars, last pushed today), licensed MIT. It adds 16 tokens to every session and 1,770 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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