Borrowing it
Nothing to install: this file belongs to mtarcure/claude-vibe-squad. 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/mtarcure/claude-vibe-squad/main/.agents/skills/requirements-elicitation/SKILL.mdgit clone --depth 1 https://github.com/mtarcure/claude-vibe-squadWrote 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/mtarcure/claude-vibe-squad/requirements-elicitation)<a href="https://agentmods.dev/skills/mtarcure/claude-vibe-squad/requirements-elicitation"><img src="https://agentmods.dev/badge/skills/mtarcure/claude-vibe-squad/requirements-elicitation/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/mtarcure/claude-vibe-squad/requirements-elicitation"><img src="https://agentmods.dev/badge/skills/mtarcure/claude-vibe-squad/requirements-elicitation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00056 | $0.01238 |
| Opus 5 | $0.00028 | $0.00619 |
| Sonnet 5 | $0.00011 | $0.00248 |
| Haiku 4.5 | $0.00006 | $0.00124 |
Grade A, and why
requirements-elicitation 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.
How it starts
The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Requirements Elicitation
Turn a vague operator ask into requirements that are observable, testable, and confirmed — surfacing every silent assumption as either a stated default or a blocking question before any scope is cut.
When to use
- The ask is goal-shaped but fuzzy ("build X", "make Y better", "add support for Z") and would otherwise go straight to design.
- Stakeholder statements conflict, or the "done" condition is unstated.
- Before
scope-decomposition: decomposition of an unelicited ask bakes the wrong goal into every slice.
Inputs
- The operator's stated goal, verbatim, plus any constraints already given (deadline, stack, dependencies, budget).
- Existing context: what already exists, what must not change, prior decisions on record.
Steps
- Restate the ask as one sentence of observable outcome from the operator's perspective. If you cannot, that gap is your first question — do not paper over it with a plausible guess.
- Climb the question ladder, one rung per gap: goal (what does success look like; what breaks if this doesn't happen), actors (who uses it, who operates it), scope edge (what is explicitly out), constraints (stack, deadline, dependencies, budget), acceptance (how will you check it's done). Ask 2–3 targeted questions per round, batched — a drip of single questions stalls the task; an interrogation of twenty exhausts the operator.
- Surface assumptions instead of silently making them. Write each one down marked DEFAULT ("proceeding with this unless corrected") or BLOCKING ("cannot proceed without an answer"). Defaults keep momentum; blockers justify a
blockedstatus. An assumption that never got written down is the one that sinks the build. - Convert every requirement to testable form: an observable behavior plus a measurable threshold. Rewrite each quality adjective — fast, robust, clean, simple, secure — into a number or a checkable condition ("p95 under 200ms on the current dataset", "restart resumes without data loss"). An adjective that survives into the requirements is a future dispute.
- Hunt the requirement classes operators reliably omit: error paths, empty/zero/first-run states, permissions and roles, concurrent use, migration of existing data, rollback, non-functional bounds (performance, cost), and operational reality (who runs it, where it logs, who gets paged).
- Frame acceptance criteria as checkable outcomes, each naming its verification method — a test, a command, an observation. "Criterion passes when
<check>shows<result>" is the shape; a criterion no one can run is a wish. - State negative scope item by item: OUT means named exclusions, not silence. Every named exclusion is a scope-creep argument that never has to happen.
- Play the requirements back for confirmation. A requirement the operator has not confirmed is still an assumption — record sign-off, or record the DEFAULT and move on. If two stakeholder statements genuinely conflict, surface the tradeoff with both options and their costs; never average them into something nobody asked for.
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 · 51 lines · 56 tokens per session scan A 8c52e49c2ec4
requirements-elicitation is a skill published in the GitHub repository mtarcure/claude-vibe-squad (148 stars, last pushed 2d ago), licensed MIT. It adds 56 tokens to every session and 1,238 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 2026-08-30.
Other skills, from other repositories
gh-find-prs
Survey open Codewhale PRs and triage each for mergeability and disposition against the real landing branch.
contributor-onboarding
Help a new contributor get productive on this checkout - inspect sync state against main, build, run the repository's exact verification gate, and produce a local what's-new digest. Never fetches, pulls, or modifies a dirty tree on its own. Explicit-only.
codew-release-qa-sweep
Use before claiming Codewhale release work is done: run the full gate sweep and list the manual QA targets.
gh-file-issue
Use when filing a new Codewhale GitHub issue: turn a bug or idea into a well-formed, actionable issue with repro, acceptance criteria, labels, and milestone.
gh-treasure-hunt
Hunt the issue/PR queue for highest value-over-risk wins: clean focused community PRs, already-implemented issues to close, safe quick-fixes.
skill-installer
Install, update, trust, or inspect Codewhale skills from GitHub or local skill folders. Use when the user asks for available skills or wants a community skill installed.