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/shinpr/claude-code-workflows/requirement-convergencenpx skills add shinpr/claude-code-workflows --skill requirement-convergencegit clone --depth 1 https://github.com/shinpr/claude-code-workflowsWrote 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/shinpr/claude-code-workflows/requirement-convergence)<a href="https://agentmods.dev/skills/shinpr/claude-code-workflows/requirement-convergence"><img src="https://agentmods.dev/badge/skills/shinpr/claude-code-workflows/requirement-convergence.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 | $0.00045 | $0.00993 |
| Opus 5 | $0.00023 | $0.00496 |
| Sonnet 5 | $0.00009 | $0.00199 |
| Haiku 4.5 | $0.00005 | $0.00099 |
Grade A, and why
requirement-convergence 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Requirement Convergence
Purpose
Requirements arrive bloated, ambiguous, or aimed at the wrong outcome. A capable model reconciles all three into a coherent plan and builds it faithfully — delivering exactly what was asked for when what was asked for was wrong.
This skill converges what to build. How to build it, and which documents the change requires, are settled after the what is.
Convergence Fields
| Field | Pass condition |
|---|---|
outcome |
One observable result. A requirement that does not serve it is excess. |
requirements[] |
Every build-relevant item labeled current-state or desired-future. |
nonGoals[] |
Authored by the user, or the user stated there are none. |
cost |
A band with the structural evidence that places it, plus the unknowns that remain. |
cost is a rough band, not the effort estimate a work plan schedules against; requirements cannot support person-days. Its unknowns carry more decision weight than its size.
Keep request signals classified as evaluation requests, speculative ideas, or prescribed mechanisms in active convergence context as judgment-only candidates. requirements[] and durable documents receive a candidate only after explicit user confirmation.
Each field carries a readiness label: ready, weak, or weak-but-explicit (weak, and the user agreed to leave it unresolved). Only the user sets weak-but-explicit. Requirements are converged when every applicable field is ready or weak-but-explicit.
Judgment rules per field: references/criteria.md.
Hearing Protocol
Run the hearing after scope analysis has produced the facts needed to judge the convergence fields. The workflow using this skill owns the interaction method and routing; this skill defines the hearing content and pass conditions.
Register these steps before starting and record each step's evidence as it completes:
| Step | Action | Completion evidence |
|---|---|---|
| 1 | State the scope facts the analysis produced, then separately what they imply for the requirement | Facts listed with the analysis output they came from |
| 2 | Ask about the fields below ready, at most two questions per message |
One question per field below ready |
| 3 | Record each answer as that field's value | The value uses wording the user supplied, not wording the hearing offered |
| 4 | Re-ask once when a recorded value still fails its pass condition, then mark the field weak-but-explicit when the user agrees to leave the second answer as it stands |
Two recorded answers, or the user's agreement to stop |
| 5 | Hand the record to the step that judges the fields | An updated record returned from that step |
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.
- 4d ago First seen · 72 lines · 45 tokens per session scan A 2ed0269a03b8
requirement-convergence is a skill published in the GitHub repository shinpr/claude-code-workflows (675 stars, last pushed 7d ago), licensed MIT. It adds 45 tokens to every session and 993 once invoked, about $0.0002 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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