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/jerrylalala/compound-engineering/ce-commit-push-prnpx skills add Jerrylalala/compound-engineering --skill ce-commit-push-prgit clone --depth 1 https://github.com/Jerrylalala/compound-engineeringWhat 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 | $0.00029 | $0.02023 |
| Opus 5 | $0.00015 | $0.01012 |
| Sonnet 5 | $0.00006 | $0.00405 |
| Haiku 4.5 | $0.00003 | $0.00202 |
Grade A, and why
ce:commit-push-pr 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 2d 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Git Commit, Push, and PR
Asking the user: When this skill says "ask the user", use the platform's blocking question tool: AskUserQuestion in Claude Code (call ToolSearch with select:AskUserQuestion first if its schema isn't loaded), request_user_input in Codex, ask_user in Gemini, ask_user in Pi (requires the pi-ask-user extension). Fall back to presenting the question in chat only when no blocking tool exists in the harness or the call errors (e.g., Codex edit modes) — not because a schema load is required. Never silently skip the question.
Mode
- Description-only — user wants just a description ("write/draft a PR description", "describe this PR", or pasted a PR URL/number alone). Run Step 4 only; print the result. Apply only if the user asks. If a PR ref was pasted, pass it to Step 4 so Pre-A resolves the right range.
- Description update — user wants to refresh/rewrite an existing PR's description with no commit/push intent. If no open PR, report and stop. Otherwise run Step 4 (PR mode using the existing PR's URL), then Step 5 to preview, confirm, and apply via
gh pr edit. - Full workflow — otherwise. Run Steps 1-5 in order.
Context
On platforms other than Claude Code, run the Context fallback below. In Claude Code, the labeled sections contain pre-populated data — use them directly.
Git status:
!git status
Working tree diff:
!git diff HEAD
Current branch:
!git branch --show-current
Recent commits:
!git log --oneline -10
Remote default branch:
!git rev-parse --abbrev-ref origin/HEAD 2>/dev/null || echo 'DEFAULT_BRANCH_UNRESOLVED'
Existing PR check:
!gh pr view --json url,title,state 2>/dev/null || echo 'NO_OPEN_PR'
Context fallback
printf '=== STATUS ===\n'; git status; printf '\n=== DIFF ===\n'; git diff HEAD; printf '\n=== BRANCH ===\n'; git branch --show-current; printf '\n=== LOG ===\n'; git log --oneline -10; printf '\n=== DEFAULT_BRANCH ===\n'; git rev-parse --abbrev-ref origin/HEAD 2>/dev/null || echo 'DEFAULT_BRANCH_UNRESOLVED'; printf '\n=== PR_CHECK ===\n'; gh pr view --json url,title,state 2>/dev/null || echo 'NO_OPEN_PR'
What ships with it
2 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.
- 2d ago First seen · 137 lines · 29 tokens per session scan A 82045cdf261b
ce:commit-push-pr is a skill published in the GitHub repository Jerrylalala/compound-engineering (5 stars, last pushed 3mo ago), licensed MIT. It adds 29 tokens to every session and 2,023 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 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
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…
agent-host-chat-contributions
Build and review cross-cutting agent-host chat behavior through lifecycle contributions. Use when adding turn lifecycle side effects, prompt or context injection, restored-history transformation, protocol-action observation, or when reviewing changes that add code to AgentSideEffects or AgentService.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.