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 agentmods add skills/mckruz/claude-code-sdlc/spec-writernpx skills add MCKRUZ/claude-code-sdlc --skill spec-writergit clone --depth 1 https://github.com/MCKRUZ/claude-code-sdlcWrote 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/mckruz/claude-code-sdlc/spec-writer)<a href="https://agentmods.dev/skills/mckruz/claude-code-sdlc/spec-writer"><img src="https://agentmods.dev/badge/skills/mckruz/claude-code-sdlc/spec-writer.svg" alt="Measured on agentmods" 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 | $0.00074 | $0.00506 |
| Opus 5 | $0.00037 | $0.00253 |
| Sonnet 5 | $0.00015 | $0.00101 |
| Haiku 4.5 | $0.00007 | $0.00051 |
Grade A, and why
spec-writer 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 4d 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
Spec writer
Produce a spec the team can build against without guessing. A spec is ready only when its acceptance checks survive the vague-line test: could two people build different things from this line? If yes, the line is a wish — rewrite it until it's a check.
Procedure
- Find the next number. Glob
specs/*.md; the new file isspecs/NNNN-name.mdwithNNNNzero-padded andnamekebab-case. - Start from
spec-template.md. Fill all seven parts: Goal · Why · Scope in/out · Acceptance checks · Risk tier · Delegation plan · Checking plan. - Assign the risk tier from CLAUDE.md's risk taxonomy. When unsure, escalate up — never down. The tier sets the gates and the checking-ladder climb.
- Write acceptance checks as observable statements (Given/When/Then where it fits). Each must name what is true and testable, not an intention. Run each past the vague-line test out loud.
- Set the delegation bounds: which file globs the agent may touch, which paths are gated, and the one canonical pattern in the codebase to reuse. Grep for that pattern and cite it.
- If the deliverable is LLM-powered, add the evals block: golden-set path, threshold, and what the grader checks differently (behavior distribution, not just code).
Done when
- The file exists at
specs/NNNN-name.md, all seven parts filled. - Every acceptance check passes the vague-line test.
- A risk tier is set and the gated paths it touches are listed.
- No open product decision remains for this story (otherwise it's not Ready — flag it for the decision list with a named owner, don't paper over it).
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.
- 4d ago First seen · 37 lines · 74 tokens per session scan A 076ee746cd2e
spec-writer is a skill published in the GitHub repository MCKRUZ/claude-code-sdlc (4 stars, last pushed 6d ago), licensed MIT. It adds 74 tokens to every session and 506 once invoked, about $0.0004 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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