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/jl-cmd/claude-dev-env/pr-title-descriptionnpx skills add jl-cmd/claude-dev-env --skill pr-title-descriptiongit clone --depth 1 https://github.com/jl-cmd/claude-dev-envWrote 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/jl-cmd/claude-dev-env/pr-title-description)<a href="https://agentmods.dev/skills/jl-cmd/claude-dev-env/pr-title-description"><img src="https://agentmods.dev/badge/skills/jl-cmd/claude-dev-env/pr-title-description.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 | $0.00021 | $0.01089 |
| Opus 5 | $0.00010 | $0.00544 |
| Sonnet 5 | $0.00004 | $0.00218 |
| Haiku 4.5 | $0.00002 | $0.00109 |
Grade A, and why
pr-title-description 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 yesterday.
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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Accept one or more pull request links as arguments. Apply the prompt below to each link.
With no argument, use the current task, browser, worktree, or GitHub context to find the pull request or pull requests. If the context does not show a clear pull request, ask for a pull request link.
Review this pull request:
Read the PR and its full diff. Do not use the branch name, commit message, labels, current title, or a shallow summary.
Full-diff behavior standard
Before writing, inventory every independently observable behavior in the full diff. A behavior is independent when a user, caller, operator, automation, output, error, exit status, fallback, or side effect can observe it separately. Lead with the central behavior for readability, then give every other behavior its own short paragraph or bullet.
For each behavior, state the trigger or observer, the Before -> After result, the affected surface/caller when shared, and focused proof. Include important preserved behavior and fallback paths when they help a coder rule a regression in or out. Describe outcomes, not line-by-line implementation, and do not hide multiple behaviors under vague umbrella wording.
Write like the reader is smart but knows nothing about this code. Pretend they asked you to explain it like they are five and feel stupid. If a word needs another sentence to explain it, replace the word — or turn it into a tiny story.
Your job is not a dry API blurb. Your job is an illustrative before/after a person can picture.
Gold voice for titles and “What this adds”:
The theme package has a phone icon somewhere. We need to find it.
Before: yell “anyone know how to find icons?” and wait for a hand.
After: call the finder by its name tag: “icon finder, go.”
That’s all “operation id” is — the finder’s name tag.
Rules for that voice:
Start from a concrete scene (what’s in someone’s hand, what they’re hunting for). Prefer Before / After when the change is “how you ask” or “how you look it up.” Use picture words: hand it, open, find, check, save, skip, stop, call by name, name tag. Prefer spoken results: “found it,” “missing,” “duplicated,” “couldn’t.” When the diff uses an abstract word (operation id, registry, envelope, adapter, digest, schema), do one of two things: Drop it and say what the person does with their hands, or Keep it once, then gloss it in the same breath with a name-tag / mailbox / checklist metaphor — like the “finder’s name tag” line above. Never leave jargon unexplained. Never write as if the reader already knows the jargon. Add a tiny concrete example in parentheses when a name is abstract (like “the phone icon”). Few words. Small words. Clear on first read. Return:
Recommended title
Few words. Small words. Clear on first read. Say what you hand it, what it does, and what you get back — or the Before/After of how you ask. Prefer picture words and spoken results. Good title: “Call the icon finder by its name tag instead of asking around” Good title: “Given a theme STP and an asset name, report whether that asset was found, missing, or duplicated” Bad title: anything that only says operation id / registry / typed envelope / adapter / digest / schema with no picture. Use “Add” only if it helps. Do not force it. No vague words like “improve,” “enhance,” or “update.” Return one title only. Why this title fits
1–2 short sentences in the same voice. If needed, one Before / After beat, then what you get back. If this section is needed to decode the title, rewrite the title. Evidence
Key files or functions that support the title. If you cannot read the PR or full diff, say so and do not propose a title.
Then write a short, paste-ready PR description.
Use this structure:
What this adds
Why One short paragraph. Same plain level. Say who needs this and what goes wrong without it (the “yell and wait for a hand” problem). If this is needed to decode the feature, rewrite “What this adds.”
Verification List only proof from the PR, CI, or your own checks.
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.
- yesterday Changed · +4 lines 16cdc5d3597b
- 4d ago First seen · 93 lines · 21 tokens per session scan A 11b60fdb8867
pr-title-description is a skill published in the GitHub repository jl-cmd/claude-dev-env (5 stars, last pushed today), licensed MIT. It adds 21 tokens to every session and 1,089 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.
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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.
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.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
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…