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 clearsmog/claude-skills --skill finishgit clone --depth 1 https://github.com/clearsmog/claude-skillsWrote 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/clearsmog/claude-skills/finish)<a href="https://agentmods.dev/skills/clearsmog/claude-skills/finish"><img src="https://agentmods.dev/badge/skills/clearsmog/claude-skills/finish/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/clearsmog/claude-skills/finish"><img src="https://agentmods.dev/badge/skills/clearsmog/claude-skills/finish.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 | $0.00028 | $0.01371 |
| Opus 5 | $0.00014 | $0.00685 |
| Sonnet 5 | $0.00006 | $0.00274 |
| Haiku 4.5 | $0.00003 | $0.00137 |
Grade A, and why
finish 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 11d 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 — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Finish Document
Master pipeline that compiles, reviews, fixes, and finalizes any supported document type.
Format Detection
Determine file type from extension:
.typ→ Typst document (slides, docs, guides, CVs).qmd→ Quarto RevealJS slides.py→ Python script
Note: For
.tex(LaTeX/Beamer), configure the finish pipeline at project level.
For .typ files, also detect document type from content:
- Contains
#import "@preview/polylux"or#import "@preview/touying"→ Typst slides - Contains
#import "@local/qk"→ Uses qk component library - Otherwise → Typst document
Pipeline Phases
Phase 0: Detect File Type
- Parse
$ARGUMENTS, resolve file path - Detect format from extension and content
Phase 1: Compile + Visual Spot-Check
Step 1 — Compile:
- Route to
/compilewith the detected format - Hard gate: exit code must be 0. Do not proceed until compilation succeeds.
Step 2 — Determine sample pages:
- Documents <=3 pages → all pages
- Documents >3 pages → page 1, middle page, last page
- Presentations <30 slides → all slides
- Presentations 30+ → first 3, middle 3, last 3
Step 3 — Render PNGs:
typst compile FILE.typ /tmp/finish-preview-{0p}.png --pages [SAMPLE]
Step 4 — Visual inspection:
- Read each PNG with the Read tool
- Apply the full visual checklist from
typst/references/visual-verification.md:- Content overflow / cut off?
- Blank half-pages?
- Font fallback squares (missing font)?
- Missing images / broken references?
- Cramped text / unbalanced layout?
- Heading hierarchy consistent?
- Table headers repeating across pages?
Step 5 — Record issues for Phase 1.5 or Phase 3 fix list.
Phase 1.5: Quick Auto-Fix Before Review
If the visual spot-check caught simple issues, fix them now so review agents start from a clean baseline.
Scope: Only fix issues that are:
- Clearly identified in the PNG inspection
- Fixable without design decisions (overflow, missing alt text, font fallback)
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.
- 11d ago First seen · 162 lines · 28 tokens per session scan A a7ff8e00264d
finish is a skill published in the GitHub repository clearsmog/claude-skills (2 stars, last pushed 6mo ago), licensed MIT. It adds 28 tokens to every session and 1,371 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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