Borrowing it
Nothing to install: this file belongs to nwiizo/cargo-coupling. 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/nwiizo/cargo-coupling/main/.agents/skills/explain-issue/SKILL.mdgit clone --depth 1 https://github.com/nwiizo/cargo-couplingWrote 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/nwiizo/cargo-coupling/explain-issue)<a href="https://agentmods.dev/skills/nwiizo/cargo-coupling/explain-issue"><img src="https://agentmods.dev/badge/skills/nwiizo/cargo-coupling/explain-issue/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/nwiizo/cargo-coupling/explain-issue"><img src="https://agentmods.dev/badge/skills/nwiizo/cargo-coupling/explain-issue.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 | $0.00035 | $0.00323 |
| Opus 5.5 | $0.00014 | $0.00129 |
| Sonnet 5.5 | $0.00007 | $0.00065 |
| Haiku 4.5 | $0.00003 | $0.00032 |
Grade A, and why
explain-issue 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 20d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- routiform-codex-setup — 86% identical, 93 lines differ
What it actually says
Explain a Coupling Issue
Explain what the requested finding means, what change it could make difficult, and whether the available evidence supports acting on it. Use a small Rust example when it clarifies the user's question; do not require a before/after example for every explanation.
For names and descriptions, inspect issue_type.rs. Read only the relevant detector when explaining exact conditions or severity:
- coupling.rs: strength, distance, volatility.
- patterns.rs: module-level structural patterns.
- signals.rs: temporal and volatility diagnostics.
- external_crates.rs: external dependencies.
Use current thresholds and the target project's configuration. The balance model explains the conceptual tradeoffs; its qualitative table is not a replacement for detection code.
Include relevant exceptions such as entrypoints, stable hubs, and re-export facades. Recommend a remedy only when it addresses the demonstrated problem; traits, facades, and module splits are options, not default fixes. No analysis run is needed for a conceptual question that the available evidence already answers.
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.
- 20d ago Changed · +11 tokens per session 1b8d3e99a24e
- 1mo ago Changed · -33 lines · +2 tokens per session 12f5c31399ea
- 1mo ago First seen · 64 lines · 22 tokens per session scan A 336229c11616
explain-issue is a skill published in the GitHub repository nwiizo/cargo-coupling (116 stars, last pushed 2d ago), licensed MIT. It adds 35 tokens to every session and 323 once invoked, about $0.0001 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 2026-09-01.
Other skills, from other repositories
autoreview
Structured code review through the shared OpenClaw agent-skills installation.
omh-code-review
This is an OMH code-review workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).
revdiff-plan
Review the last Codex assistant message (plan, analysis, or proposal) with inline annotations in a TUI overlay. Extracts the most recent response from Codex rollout files and opens it in revdiff for review and annotation. Activates on "revdiff-plan", "review plan with revdiff", "annotate plan", "review last response"…
explore-unknowns
Guide the user through a quadrant walk that maps the unknowns of a task — open by listing the known knowns, then work through known unknowns, unknown knowns, and unknown unknowns one stage at a time, ending with a complete four-quadrant map in the user's hands. Use when a request is ambiguous or underspecified, the…
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…
asplos-writing-style
Use when drafting or revising ASPLOS prose — engineering the first two pages that rapid review actually reads, stating the cross-layer insight as one quotable sentence, structuring per-layer mechanism sections, writing bounded claims, and fitting everything into 11 self-contained pages that include figures and…