Borrowing it
Nothing to install: this file belongs to drujensen/aiagent. 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/drujensen/aiagent/main/.claude/skills/refine-story/SKILL.mdgit clone --depth 1 https://github.com/drujensen/aiagentWrote 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/drujensen/aiagent/refine-story)<a href="https://agentmods.dev/skills/drujensen/aiagent/refine-story"><img src="https://agentmods.dev/badge/skills/drujensen/aiagent/refine-story/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/drujensen/aiagent/refine-story"><img src="https://agentmods.dev/badge/skills/drujensen/aiagent/refine-story.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 | $0.00053 | $0.00387 |
| Opus 5.5 | $0.00021 | $0.00155 |
| Sonnet 5.5 | $0.00011 | $0.00077 |
| Haiku 4.5 | $0.00005 | $0.00039 |
Grade A, and why
refine-story 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
Story Refinement
Refine the following story:
Instructions
You are running an interactive Story Refinement session using the story-refiner agent.
Step 1: Codebase Exploration
Use the Agent tool with subagent_type: "story-refiner" and pass it the story description. Ask it to:
- Explore the relevant parts of the aiagent codebase
- Generate a focused batch of 3–6 clarifying questions — not open-ended brainstorming, specific questions with clear answers
Step 2: Present Questions Present the questions to the user and collect answers.
Step 3: Iterate Pass the answers back to the story-refiner agent. Ask it to:
- Either generate a follow-up batch of questions (if unknowns remain)
- Or produce the final Refined Story and Relevant Codebase Context output
Step 4: Output When the story-refiner declares the story complete, present the full output to the user:
- Refined Story (Goal, Acceptance Criteria, Scope Boundaries, Known Constraints, Resolved Unknowns, Definition of Done)
- Relevant Codebase Context (table of files/services/patterns the architect and developer need to read)
Important
- The story-refiner does NOT write code — it only asks questions and synthesizes answers
- This skill is interactive — loop with the user until the story is complete
- The output of this skill is the input to
/design-review
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 · 39 lines · 53 tokens per session scan A 7534fb42571e
refine-story is a skill published in the GitHub repository drujensen/aiagent (5 stars, last pushed 2mo ago), licensed MIT. It adds 53 tokens to every session and 387 once invoked, about $0.0002 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 2026-10-03.
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