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 skills add bendrucker/claude --skill refinegit clone --depth 1 https://github.com/bendrucker/claudeWrote 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/bendrucker/claude/refine)<a href="https://agentmods.dev/skills/bendrucker/claude/refine"><img src="https://agentmods.dev/badge/skills/bendrucker/claude/refine/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/bendrucker/claude/refine"><img src="https://agentmods.dev/badge/skills/bendrucker/claude/refine.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 | $0.00059 | $0.01431 |
| Opus 5.5 | $0.00024 | $0.00572 |
| Sonnet 5.5 | $0.00012 | $0.00286 |
| Haiku 4.5 | $0.00006 | $0.00143 |
Grade A, and why
issue:refine 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 10d 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 — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Issue Refinement
Arguments
Parse $ARGUMENTS:
--type bug|feature|refactor|spike: use that type's guide. Default: infer the type per Issue Types.--compact: write the trivial body per Section Selection, still with frontmatter. Default: size the body to the issue.
Issue Types
| Type | When to Use | Guide |
|---|---|---|
| Bug | Something is broken | bug.md |
| Feature | New capability | feature.md |
| Refactor | Internal improvement, no behavior change | refactor.md |
| Spike | Timeboxed investigation; output is a recommendation, not a shipped change | spike.md |
Workflow
Read the type guide, gather context from code and related issues, and draft the refinement. Write it to tmp/issue-<slug>.md and output it for approval. After approval, hand the file to the platform skill (for Linear, linear:linear), which owns all save mechanics, including mapping frontmatter to tracker fields. On GitHub, a screenshot the body references by local path goes on gh issue create --attach, per github:attach.
Output Structure
YAML frontmatter for the metadata a tracker stores as fields, then the body below the closing ---. The body leads with the summary prose directly, under no heading.
---
title: fix connection pool exhaustion under load # sentence case, one line, no long parentheticals
type: bug # bug | feature | refactor | spike
labels: [performance, database] # optional; neutral tags
priority: high # optional; urgent | high | medium | low
relations: # optional; tracker links per relation
blocks: []
blocked-by: []
related:
- https://linear.app/acme/issue/ENG-1970
duplicate-of: []
---
The nightly export marks its run successful even when per-object retrievals
time out, so downstream jobs read a partial snapshot as if it were complete.
[Type-specific sections from guide (select, don't fill)]
## 🤖 Agent Context
What ships with it
4 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.
- 10d ago Changed cebc230b596c
- 23d ago Changed · +20 tokens per session 0d645cd3635b
- 2mo ago Changed bb6d38ee3a3d
- 2mo ago First seen · 112 lines · 39 tokens per session scan A 7240358fa663
issue:refine is a skill published in the GitHub repository bendrucker/claude (18 stars, last pushed today), licensed MIT. It adds 59 tokens to every session and 1,431 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 2026-08-30.
issue:refine compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| issue:refinebendrucker/claude | Skill | 18 | today | MIT | A | 59 | Claude Code |
| reviewSethGammon/Citadel | Skill | 928 | 4d ago | MIT | A | 17 | Claude Code |
| system-upgradealivecontext/alive | Skill | 132 | yesterday | MIT | A | 55 | Claude Code |
| wenlan-handoffwenlan-app/wenlan | Skill | 94 | today | Apache-2.0 | A | 43 | Claude Code, Codex |
| extract-resumesuxrobGM/jobpilot | Skill | 111 | today | MIT | A | 32 | Claude Code |
| pr-reviewnitinjain999/platform-skills | Skill | 71 | yesterday | Apache-2.0 | A | 81 | Claude Code |
| read-literaturefirecrawl/firecrawl-claude-plugin | Skill | 258 | 3d ago | MIT | A | 101 | Claude Code |