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-sd-frontendgit 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-sd-frontend)<a href="https://agentmods.dev/skills/charlesmu99/speccrew/speccrew-sd-frontend"><img src="https://agentmods.dev/badge/skills/charlesmu99/speccrew/speccrew-sd-frontend/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-sd-frontend"><img src="https://agentmods.dev/badge/skills/charlesmu99/speccrew/speccrew-sd-frontend.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 | $0.00048 | $0.00171 |
| Opus 5 | $0.00024 | $0.00086 |
| Sonnet 5 | $0.00010 | $0.00034 |
| Haiku 4.5 | $0.00005 | $0.00017 |
Grade A, and why
speccrew-sd-frontend 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 8d 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
- System Designer Agent dispatches this skill with platform context (platform_id, techs paths, Feature Spec paths)
- Feature Spec has been confirmed, user requests frontend system design
- User asks "Create frontend design for this platform" or "Generate frontend module design"
AgentFlow Definition
REQUIRED: Read and execute the XML workflow above. The XML contains the complete workflow definition including all steps, rules, conditions, and checklist.
What ships with it
3 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.
- 8d ago First seen · 18 lines · 48 tokens per session scan A 5c1b86b7aac0
speccrew-sd-frontend is a skill published in the GitHub repository charlesmu99/speccrew (13 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 48 tokens to every session and 171 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 2026-09-03.
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