Borrowing it
Nothing to install: this file belongs to linuxfoundation/lfx-self-serve. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/linuxfoundation/lfx-self-serve/main/.claude/skills/lfx-self-serve-pr-readiness/SKILL.mdgit clone --depth 1 https://github.com/linuxfoundation/lfx-self-serveWrote 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/linuxfoundation/lfx-self-serve/lfx-self-serve-pr-readiness)<a href="https://agentmods.dev/skills/linuxfoundation/lfx-self-serve/lfx-self-serve-pr-readiness"><img src="https://agentmods.dev/badge/skills/linuxfoundation/lfx-self-serve/lfx-self-serve-pr-readiness/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/linuxfoundation/lfx-self-serve/lfx-self-serve-pr-readiness"><img src="https://agentmods.dev/badge/skills/linuxfoundation/lfx-self-serve/lfx-self-serve-pr-readiness.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00138 | $0.01623 |
| Opus 5 | $0.00069 | $0.00812 |
| Sonnet 5 | $0.00028 | $0.00325 |
| Haiku 4.5 | $0.00014 | $0.00162 |
Grade A, and why
lfx-self-serve-pr-readiness 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 8d 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 — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LFX Self-Serve PR Readiness
You are checking whether local commits are shaped correctly to open as a PR — branch name, ticket references (JIRA or GitHub Issue) in commit messages, conventional-commit format, rebase status, DCO + GPG signing on every commit, total diff size.
This skill does NOT audit code. CLAUDE.md's Pre-PR review section is the single owner of that protocol, and this check is a step inside its Mode 2. Before running it, confirm the work that precedes it in Mode 2 is complete: the whole-branch review returned a valid batch, its required findings are fixed, the documentation-currency updates are done, and all of that is in a signed/DCO commit against a clean tree. If any of that is outstanding, stop and finish it first.
The PR-shape checklist lives in references/pr-shape.md and is walked directly in this body.
Output: structured shape report with verdict NOT READY | READY WITH CHANGES | READY. No git mutations, no PR side-effects.
⚠ Mandatory: read the PR-shape checklist before any audit work
.claude/skills/lfx-self-serve-pr-readiness/references/pr-shape.md— PR-shape sanity checklist with severity per item. Every finding must trace back to an item in this file. If you cannot quote the source, drop the finding.
Phase 1 — Parse arguments
Args format: [base-branch] [extra instructions].
- First token, if it looks like a ref (contains
/, or is a plain branch name likemain), is the base branch. - Default base:
origin/main. - Everything else is extra focus (rarely used for shape; mostly for explanatory context).
Phase 2 — Gather PR-shape inputs
Normalize <base> first: if it contains no / (e.g., bare main), prefix with origin/ so the comparison runs against the freshly-fetched remote ref rather than a possibly-stale local branch.
Run in parallel:
git fetch origin
git rev-parse --abbrev-ref HEAD # current branch
git diff --shortstat <base>...HEAD # additions/deletions (three-dot = merge-base..HEAD)
git diff --name-only <base>...HEAD # changed files (drives protected-files check)
git log --format='%H %s' <base>..HEAD # commit subjects on the branch
git log --format='%G? %h %s' <base>..HEAD # signature status per commit
git log --format=%B <base>..HEAD # commit bodies (Signed-off-by trailers)
git merge-base --is-ancestor <base> HEAD; echo $? # rebase status (0 = ancestor)
What ships with it
1 file 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.
- 8d ago Changed · +3 tokens per session 788dc1b10530
- 12d ago First seen · 136 lines · 135 tokens per session scan A fd96b8423597
lfx-self-serve-pr-readiness is a skill published in the GitHub repository linuxfoundation/lfx-self-serve (11 stars, last pushed today), licensed MIT. It adds 138 tokens to every session and 1,623 once invoked, about $0.0007 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.
Other skills, from other repositories
prowler-commit
Creates professional git commits following conventional-commits format. Trigger: When creating commits, after completing code changes, when user asks to commit.
gh-auth-isolation
Safely manage multiple GitHub identities (EMU + personal) in agent workflows.
comet-github
A routing guide for Comet-related GitHub work. It directs requests about pull requests, issues, CI failures, ideas, and fixes to the appropriate review or implementation process.
github-skill
Work with GitHub via the gh CLI — clone repositories, create/list/merge pull requests, create/list issues, and run any other gh command (API calls, workflow runs, releases, repo administration). List operations return parsed JSON.
changelog-composer
Generates structured changelogs and release notes from git history and PRs, classifying breaking changes, features, fixes, performance, docs. Triggers on: "generate changelog", "write release notes", "what changed since", "prepare release", "release notes for", "diff since tag".
re0-merge
Review and land an external contribution the way this suite does: gate it against the thesis, land it with the author's credit intact, complete a new skill rather than merging it raw, then approve, credit, and explain before closing. Use when reviewing a pull request, as any collaborator or maintainer, not only the…