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 cfircoo/claude-code-toolkit --skill spec-interviewgit clone --depth 1 https://github.com/cfircoo/claude-code-toolkitWrote 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/cfircoo/claude-code-toolkit/spec-interview)<a href="https://agentmods.dev/skills/cfircoo/claude-code-toolkit/spec-interview"><img src="https://agentmods.dev/badge/skills/cfircoo/claude-code-toolkit/spec-interview/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/cfircoo/claude-code-toolkit/spec-interview"><img src="https://agentmods.dev/badge/skills/cfircoo/claude-code-toolkit/spec-interview.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 | $0.00033 | $0.02310 |
| Opus 5.5 | $0.00013 | $0.00924 |
| Sonnet 5.5 | $0.00007 | $0.00462 |
| Haiku 4.5 | $0.00003 | $0.00231 |
Grade A, and why
spec-interview 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 266 lines — stays where its author put it; the contents beside it link to each section on GitHub.
The goal is to surface hidden assumptions and force decisions BEFORE implementation begins.
<essential_principles>
</essential_principles>
<quick_start>
- Check if SPEC.md exists and read it
- Identify gaps, ambiguities, and untested assumptions
- Begin interviewing using AskUserQuestionTool
- Cover ALL domains systematically (see question_domains)
- Write completed spec to SPEC.md </quick_start>
If exists: Analyze what's defined vs. what's missing or vague. If not: Start fresh, but ask about existing context (related systems, constraints, prior art).
CRITICAL: Each question must:
- Be specific to THIS project (not generic)
- Surface a decision or assumption
- Have meaningful, distinct options
- Force the user to commit to something
Probe these immediately before moving on.
<question_domains>
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.
- 1mo ago First seen · 266 lines · 33 tokens per session scan A c80c39a6a485
spec-interview is a skill published in the GitHub repository cfircoo/claude-code-toolkit (17 stars, last pushed 6mo ago), licensed MIT. It adds 33 tokens to every session and 2,310 once invoked, about $0.0001 per session on Opus 5.5. 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.
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