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 charlesmu99/speccrew --skill speccrew-dev-review-desktopgit clone --depth 1 https://github.com/charlesmu99/speccrewWrote 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/charlesmu99/speccrew/speccrew-dev-review-desktop)<a href="https://agentmods.dev/skills/charlesmu99/speccrew/speccrew-dev-review-desktop"><img src="https://agentmods.dev/badge/skills/charlesmu99/speccrew/speccrew-dev-review-desktop/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/charlesmu99/speccrew/speccrew-dev-review-desktop"><img src="https://agentmods.dev/badge/skills/charlesmu99/speccrew/speccrew-dev-review-desktop.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 | $0.00173 |
| Opus 5 | $0.00023 | $0.00086 |
| Sonnet 5 | $0.00009 | $0.00035 |
| Haiku 4.5 | $0.00005 | $0.00017 |
Grade A, and why
speccrew-dev-review-desktop 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 12d 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.
What it actually says
Trigger Scenarios
- When speccrew-system-developer dispatches desktop code review for a completed module
- When user requests "Review this desktop module's implementation"
- When incremental review is needed after partial desktop implementation
AgentFlow Definition
REQUIRED: Before executing this workflow, read the XML workflow specification: speccrew-workspace/docs/rules/agentflow-spec.md Then read and execute the XML workflow in SKILL.xml block-by-block as the authoritative execution plan.
What ships with it
2 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.
- 12d ago First seen · 19 lines · 46 tokens per session scan A 40ccf67105f3
speccrew-dev-review-desktop is a skill published in the GitHub repository charlesmu99/speccrew (13 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 46 tokens to every session and 173 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
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Reference for aster.yaml, covering review models, analyzers, focus areas, include/exclude globs, minconfidence, and the permissions block that gates edits. Use when creating or editing aster.yaml, choosing hypothesis/verify models, enabling semgrep or ast-grep, or configuring edit permissions.
aster-review-ci
Run aster code reviews non-interactively in CI, GitHub Actions, or from another agent. Covers aster review --pr, --json, --stream, --comment, diff-from-stdin, token handling, and filtering findings. Use when wiring aster into a pipeline, posting PR comments, or parsing review output programmatically.
aster-fix-workflow
Pipe aster review findings into aster fix to generate and apply patches safely, using review --json, fix --findings-json, dry-run inspection, --apply, and permission gating. Use when asked to auto-fix review findings, apply aster's suggested edits, or build a review-then-fix pipeline.
gh-pr-workflow
Working with GitHub pull requests, issues, and the API through the gh CLI. Use whenever the task involves reviewing, creating, or commenting on a PR or issue, or calling the GitHub API.
refactor-safely
Renaming, moving, and restructuring code without breaking behavior. Use when the task is a rename, a file move, an extract, or any restructuring the user expects to be behavior-neutral.
open-code-review
Performs AI-powered code review on Git changes using the ocr CLI from alibaba/open-code-review. Use when the user asks to review code, review a pull request, review staged/unstaged changes, review a commit, or compare branches for code quality issues. Produces line-level review comments and can automatically apply…