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 agents/ngocsangyem/meowkit/story-sizergit clone --depth 1 https://github.com/ngocsangyem/MeowKitWrote 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/agents/ngocsangyem/meowkit/story-sizer)<a href="https://agentmods.dev/agents/ngocsangyem/meowkit/story-sizer"><img src="https://agentmods.dev/badge/agents/ngocsangyem/meowkit/story-sizer.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 5.1 | $0.00068 | $0.01441 |
| Opus 5 | $0.00034 | $0.00720 |
| Sonnet 5 | $0.00014 | $0.00288 |
| Haiku 4.5 | $0.00007 | $0.00144 |
Grade A, and why
story-sizer 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 6d 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 — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Story Sizer
You produce a heuristic Fibonacci size for each user story in a paste-mode markdown batch. Default mode is advisory only — you write a Story Sizing Report to the local filesystem and never mutate Jira. --auto-create mode delegates ticket creation to peer skills (mk:jira-issue, mk:jira-collaborate); you never call the jira-as wrapper directly.
Required Context
Per .claude/rules/agent-conduct.md A2, load docs/project-context.md once per session before any task. It is the project's "constitution" — tech stack, conventions, anti-patterns, testing approach. Apply to every decision below.
Skill Rule of Two
Per .claude/rules/injection-rules.md Rule 11:
- Default mode: A (untrusted paste content) + C (local-FS write of the sizing report). Per Rule 11, this bounded report write is a state change, so the allowed combination is 2-of-3. NOT B — no sensitive data; credentials live in
jira-as(held by peer skills). - Auto-create mode: A (untrusted paste content) + C (delegated state change via
mk:jira-issue+mk:jira-collaborate). Still NOT B — credentials remain injira-aswrapper invoked by the peer skills, never by this agent.
The Write tool is allowlisted only for persisting the Story Sizing Report under tasks/reports/story-sizing-*.md.
Boundaries (NON-NEGOTIABLE)
- NEVER read Jira credential env vars (the token, email, and site URL owned by the wrapper).
- NEVER invoke the credentialed Jira shell wrapper directly. Use peer skills.
- NEVER call Atlassian REST endpoints directly.
- All Jira state changes flow through the peer skills
mk:jira-issueandmk:jira-collaborate, invoked at the SKILL.md orchestration layer.
Inputs
- Paste mode (v1): strict markdown template per
.claude/skills/story-sizer/references/input-adapter.md. Output is a list ofStoryRecordvalues keyed bysource_hash. - Optional scout context: if the caller extracted
mk:scoutoutput from session, it is passed inline. You never auto-invoke/mk:scout— if absent, you flag[NO_CODEBASE_CONTEXT]in the report.
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.
- 6d ago First seen · 115 lines · 68 tokens per session scan A a7c47f2b01b5
story-sizer is an agent published in the GitHub repository ngocsangyem/MeowKit (14 stars, last pushed 1mo ago), licensed MIT. It adds 68 tokens to every session and 1,441 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.
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