Borrowing it
Nothing to install: this file belongs to luainkernel/lunatik. 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/luainkernel/lunatik/master/.agents/skills/explain-pr/SKILL.mdgit clone --depth 1 https://github.com/luainkernel/lunatikWrote 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/luainkernel/lunatik/explain-pr)<a href="https://agentmods.dev/skills/luainkernel/lunatik/explain-pr"><img src="https://agentmods.dev/badge/skills/luainkernel/lunatik/explain-pr/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/luainkernel/lunatik/explain-pr"><img src="https://agentmods.dev/badge/skills/luainkernel/lunatik/explain-pr.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00049 | $0.00589 |
| Opus 5.5 | $0.00020 | $0.00236 |
| Sonnet 5.5 | $0.00010 | $0.00118 |
| Haiku 4.5 | $0.00005 | $0.00059 |
Grade A, and why
explain-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 1mo 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.
The source is not reproduced here
Licensed GPL-2.0
The repository is licensed GPL-2.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 1mo ago First seen · 47 lines · 49 tokens per session scan A 61e1904dd28c
explain-pr is a skill published in the GitHub repository luainkernel/lunatik (608 stars, last pushed 3d ago), licensed GPL-2.0. It adds 49 tokens to every session and 589 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 2026-09-18.
Other skills, from other repositories
Automated Refactoring with PMAT
Provides automated refactoring suggestions and complexity reduction strategies using PMAT (Pragmatic AI Labs MCP Agent Toolkit). Use this skill when: User requests code refactoring, optimization, or improvement Complexity analysis reveals high-complexity functions (cyclomatic > 10) Code review identifies…
Code Quality Analysis with PMAT
Analyzes code quality, complexity, and technical debt using PMAT (Pragmatic AI Labs MCP Agent Toolkit). Use this skill when: User mentions "code quality", "complexity", "technical debt", or "maintainability" Reviewing code or conducting code review Modifying or refactoring existing code files Creating pull requests or…
code-review
Senior embedded-engineer code review. Defaults to Classic AUTOSAR embedded C and covers two concerns: (1) Correctness review — integer overflow, volatile correctness, ISR/task race conditions, stack usage, dynamic memory, control flow, AUTOSAR/ISO 26262 readiness, with findings rated Critical/Major/Minor; (2) Naming…
misra
MISRA C:2025 expert that operates in two modes: (1) Review — scan existing C code for violations across all 223 guidelines (22 directives + 201 rules), report findings with rule IDs, corrected code, and deviation justification templates; (2) Develop — generate new C functions, modules, or data structures that are…
pr-review
Review your own ArduPilot PR the way a maintainer will - before you open it, or after review feedback arrives - and then fix what the review finds. Runs the CI gates that bounce PRs mechanically, fans out parallel reviewers over the diff, cross-checks every finding with an independent Codex pass, and iterates fixes…
hwdef-check
Review an ArduPilot new-board hwdef PR. Stashes any local changes, checks the PR out as a branch in the current repo, runs DMA / board-ID / file-presence / commit-structure checks, layers the hwdef playbook on top, and (after confirmation) posts a review comment on the PR — then restores the original branch and pops…