Borrowing it
Nothing to install: this file belongs to banshee-data/velocity.report. 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/banshee-data/velocity.report/main/.claude/skills/docs-release-prep/SKILL.mdgit clone --depth 1 https://github.com/banshee-data/velocity.reportWrote 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/banshee-data/velocity.report/docs-release-prep)<a href="https://agentmods.dev/skills/banshee-data/velocity.report/docs-release-prep"><img src="https://agentmods.dev/badge/skills/banshee-data/velocity.report/docs-release-prep/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/banshee-data/velocity.report/docs-release-prep"><img src="https://agentmods.dev/badge/skills/banshee-data/velocity.report/docs-release-prep.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 | $0.00046 | $0.03304 |
| Opus 5.5 | $0.00018 | $0.01322 |
| Sonnet 5.5 | $0.00009 | $0.00661 |
| Haiku 4.5 | $0.00005 | $0.00330 |
Grade C, and why
docs-release-prep scanned grade C with 1 finding 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 9d 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.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
(`[label](path)`), not a standalone backtick-quoted file path. <!-- link-ignore --> How it starts
The opening of the file, as written. The whole thing — 395 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: docs-release-prep
Run the full documentation preparedness workflow before a release. This skill codifies the sequence of editorial and structural checks that make docs accurate, navigable, and sized for purpose.
Usage
/docs-release-prep
/docs-release-prep --dry-run
/docs-release-prep --scope lidar
Goals
- Every Markdown link resolves to a real file.
- Key document references use Markdown links, not backtick-quoted file paths.
- Every completed plan is graduated (symlink + hub-doc consolidation).
- No spec document exceeds the length target without justification.
- Large documents with distinct topics are split into focused files.
- Open design questions are surfaced; answered questions are recorded.
- Design decision tables reflect current implementation, not stale drafts.
- Documentation included in the disk image is complete and correct.
Rubrics
Length target: 800 lines
Specification and architecture documents should target ≤ 800 lines. This is a guideline, not a hard wall: a 900-line doc with dense tables is fine; a 2,000-line doc that wanders is not.
No compilable code blocks
Plan files and design documents must not contain fenced code blocks in compilable languages. See STYLE.md § Documentation Structure for the full banned/allowed lists. The short version:
Banned: Go, SQL, Protocol Buffers, TypeScript, Swift, Python, JSON, JSONC, YAML, TOML, XML, CSV, HTML, CSS, Typst, Makefile, Dockerfile.
Allowed: bash/sh (operational commands), mermaid (diagrams),
text (ASCII art, directory trees).
Replace banned blocks with prose descriptions, field tables
(| Field | Type | Purpose |), or file references. Keep the information;
change the format.
Split threshold
If a document covers two or more clearly independent topics and exceeds 800 lines, split it:
- Extract the secondary topic into a new file in the same directory.
- Add a cross-reference link from the original to the new file.
- Keep the original as the primary document for the core topic.
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.
- 9d ago Changed · +9 lines ea7b2824fc08
- 1mo ago First seen · 386 lines · 46 tokens per session scan C 989201916747
docs-release-prep is a skill published in the GitHub repository banshee-data/velocity.report (11 stars, last pushed today), licensed Apache-2.0. It adds 46 tokens to every session and 3,304 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-25.
docs-release-prep compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| docs-release-prepbanshee-data/velocity.report | Skill | 11 | today | Apache-2.0 | C | 46 | Claude Code |
| orbit-notionnexu-io/open-design | Skill | 106k | yesterday | Apache-2.0 | A | 117 | Claude Code, Codex |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | 2d ago | Apache-2.0 | A | 123 | Claude Code |
| apify-youtube-transcript-scrapersickn33/agentic-awesome-skills | Skill | 49k | yesterday | MIT | A | 48 | Claude Code |
| legal-holdanthropics/claude-for-legal | Skill | 9.9k | 3d ago | Apache-2.0 | A | 68 | Claude Code |
| ppt-reviewOrkas-AI/Orkas | Skill | 9.0k | yesterday | MIT | A | 2 | Claude Code, Codex |
| readtw93/Waza | Skill | 7.5k | 4d ago | MIT | A | 61 | Claude Code |