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 grojof/ai-workspace-generator --skill aiws-sdd-self-reviewgit 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-self-review)<a href="https://agentmods.dev/skills/grojof/ai-workspace-generator/aiws-sdd-self-review"><img src="https://agentmods.dev/badge/skills/grojof/ai-workspace-generator/aiws-sdd-self-review/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-self-review"><img src="https://agentmods.dev/badge/skills/grojof/ai-workspace-generator/aiws-sdd-self-review.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 | $0.00053 | $0.00344 |
| Opus 5 | $0.00026 | $0.00172 |
| Sonnet 5 | $0.00011 | $0.00069 |
| Haiku 4.5 | $0.00005 | $0.00034 |
Grade A, and why
aiws-sdd-self-review 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-self-review — pre-handoff validation gauntlet
Run the full validation set before IT receives the project and emit a PASS/FAIL report citing rule IDs.
This is the builder-side mirror of the sdd-audit-* skills — green here is the precondition for handoff.
Checks
- Profile A:
ruff,pyright,pytest, coverage ≥ 70 % (TECH-A-013), a security scan (e.g. bandit), dependency CVE + secrets scans. - Profile B: HTML/JS/CSP/SRI checks; npm/React/storage checks when the matching flags are set.
- Cross-profile: the
aiws-sdd-spec-schemachecklist passes; forbidden-pattern scan; SDD store consistency — every §5 Operation has code + tests; the change record in{{paths.changes}}/<change>/matches what's on disk.
Output
A report listing each check, PASS/FAIL/N-A, evidence and the rule ID. Anything red is fixed before handoff.
Record the verdict in {{paths.status}}/PROJECT-STATE.md and the change-folder. Hand off to aiws-sdd-handoff.
What ships with it
1 file 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.
- 11d ago First seen · 25 lines · 53 tokens per session scan A 71f449e2b42c
aiws-sdd-self-review is a skill published in the GitHub repository grojof/ai-workspace-generator (2 stars, last pushed 4d ago), licensed Apache-2.0. It adds 53 tokens to every session and 344 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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