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/marcusgoll/spec-flow/clarification-phasenpx skills add marcusgoll/Spec-Flow --skill clarification-phasegit clone --depth 1 https://github.com/marcusgoll/Spec-FlowWrote 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/marcusgoll/spec-flow/clarification-phase)<a href="https://agentmods.dev/skills/marcusgoll/spec-flow/clarification-phase"><img src="https://agentmods.dev/badge/skills/marcusgoll/spec-flow/clarification-phase.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 | $0.00077 | $0.04199 |
| Opus 5 | $0.00039 | $0.02099 |
| Sonnet 5 | $0.00015 | $0.00840 |
| Haiku 4.5 | $0.00008 | $0.00420 |
Grade A, and why
clarification-phase 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.
How it starts
The opening of the file, as written. The whole thing — 609 lines — stays where its author put it; the contents beside it link to each section on GitHub.
<quick_start> Resolve ambiguities in spec.md using AskUserQuestion tool:
- Extract [NEEDS CLARIFICATION] markers from spec.md
- Prioritize using matrix (Critical/High → ask, Medium/Low → assumptions)
- Call AskUserQuestion with ≤3 questions (batched, multiSelect for subsystems)
- Receive user answers synchronously
- Integrate into spec.md, remove all markers
- Add Clarifications (Resolved) section with deferred assumptions
Inputs: spec.md with [NEEDS CLARIFICATION] markers Outputs: Updated spec.md (no markers), clarifications.md (record) </quick_start>
If clarification count >5, review spec phase quality (too many ambiguities).
Read spec.md, find all [NEEDS CLARIFICATION: ...] markers, extract ambiguity context.
# Count clarifications
grep -c "\[NEEDS CLARIFICATION" specs/NNN-slug/spec.md
# List with line numbers
grep -n "\[NEEDS CLARIFICATION" specs/NNN-slug/spec.md
If count = 0, skip /clarify phase.
Categorize each clarification by priority:
- Critical (always ask): Scope boundary, security/privacy, breaking changes
- High (ask if ambiguous): User experience decisions, functionality tradeoffs
- Medium (use defaults): Performance SLAs, technical stack choices
- Low (use standards): Error messages, rate limits
Keep only Critical + High priority questions (target: ≤3).
Convert Medium/Low to informed guesses, document as assumptions.
See references/prioritization-matrix.md for detailed categorization rules.
For each Critical/High priority clarification, structure as AskUserQuestion parameter:
AskUserQuestion format:
AskUserQuestion({
questions: [
{
question:
"spec.md:45 mentions 'dashboard metrics' but doesn't specify which. What should we display?",
header: "Metrics", // max 12 chars
multiSelect: false,
options: [
{
label: "Completion only",
description: "% of lessons finished (2 days, basic insights)",
},
{
label: "Completion + time",
description:
"Lessons finished + hours logged (4 days, actionable insights)",
},
{
label: "Full analytics",
description:
"Completion + time + quiz scores + engagement (7 days, requires infrastructure)",
},
],
},
],
});
Quality standards:
- question: Full context with spec.md reference (e.g., "spec.md:45 mentions...")
- header: Short label ≤12 chars (e.g., "Metrics", "Auth", "Scope")
- multiSelect: false for single choice, true for subsystems/features
- options: 2-3 concrete choices with impacts in description
- label: Concise option name (1-5 words)
- description: Implementation cost + value + tradeoffs (1-2 sentences)
Batch related questions (max 3 per AskUserQuestion call).
See references/question-bank.md for 40+ example questions in AskUserQuestion format.
For Medium/Low priority questions not asked, prepare assumptions section:
## Deferred Assumptions (Using Informed Guesses)
### [Topic]
**Not asked** (Low priority - standard default exists)
**Assumption**: [Concrete default choice]
**Rationale**: [Why this default is reasonable]
**Override**: [How user can override in spec.md]
These will be included in clarifications.md record after AskUserQuestion call.
What ships with it
3 files 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.
- 4d ago First seen · 609 lines · 77 tokens per session scan A aed83cc37fa6
clarification-phase is a skill published in the GitHub repository marcusgoll/Spec-Flow (92 stars, last pushed 4mo ago), licensed MIT. It adds 77 tokens to every session and 4,199 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 2026-08-30.
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