Borrowing it
Nothing to install: this file belongs to grojof/ai-workspace-generator. 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/grojof/ai-workspace-generator/main/.claude/skills/aiws-sdd-apply/SKILL.mdgit clone --depth 1 https://github.com/grojof/ai-workspace-generatorWrote 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/grojof/ai-workspace-generator/aiws-sdd-apply)<a href="https://agentmods.dev/skills/grojof/ai-workspace-generator/aiws-sdd-apply"><img src="https://agentmods.dev/badge/skills/grojof/ai-workspace-generator/aiws-sdd-apply/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/grojof/ai-workspace-generator/aiws-sdd-apply"><img src="https://agentmods.dev/badge/skills/grojof/ai-workspace-generator/aiws-sdd-apply.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 | $0.00052 | $0.00313 |
| Opus 5 | $0.00026 | $0.00156 |
| Sonnet 5 | $0.00010 | $0.00063 |
| Haiku 4.5 | $0.00005 | $0.00031 |
Grade A, and why
aiws-sdd-apply 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.
What it actually says
aiws-sdd-apply
Implement tasks in order, checking them off in tasks.md. Keep code aligned with the spec.
Read first
- tasks.md
- spec.md
- design.md
Produce — tasks.md (kept current)
- Tasks checked off as completed
- Notes on any deviation (with the spec updated to match)
Quality bar
- Code matches the spec — divergence updates the spec, not silently the code
- Tests accompany behaviour
- Each task checked off only when actually done
How to work
- Read the prior artifacts in the change folder before writing
tasks.md (kept current). - Fill the section template above; keep it concise and high-signal.
- Self-check against the quality bar before moving to the next phase.
Artifacts live in
docs/development/changes/<change>/and are versioned in git. Follow the SDD lifecycle in AGENTS.md and_shared/aiws-sdd-convention.md.
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 · 36 lines · 52 tokens per session scan A 242c3a5ee347
aiws-sdd-apply is a skill published in the GitHub repository grojof/ai-workspace-generator (2 stars, last pushed 4d ago), licensed Apache-2.0. It adds 52 tokens to every session and 313 once invoked, about $0.0003 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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