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 skills add ngocsangyem/MeowKit --skill 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/skills/ngocsangyem/meowkit/story-sizer)<a href="https://agentmods.dev/skills/ngocsangyem/meowkit/story-sizer"><img src="https://agentmods.dev/badge/skills/ngocsangyem/meowkit/story-sizer/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/ngocsangyem/meowkit/story-sizer"><img src="https://agentmods.dev/badge/skills/ngocsangyem/meowkit/story-sizer.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 | $0.00088 | $0.01240 |
| Opus 5 | $0.00044 | $0.00620 |
| Sonnet 5 | $0.00018 | $0.00248 |
| Haiku 4.5 | $0.00009 | $0.00124 |
Grade A, and why
mk: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 9d 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
mk:story-sizer
Forks to the story-sizer agent (system prompt at .claude/agents/story-sizer.md). v1 ships paste-mode only: the user provides a markdown block of stories, the agent applies heuristics, and a Story Sizing Report is written to tasks/reports/story-sizing-{YYMMDD}-{slug}.md. No Jira side effects in default mode.
Triggers
- "size these stories"
- "rough-size from spec"
- "pre-ticket sizing for these user stories"
- "Fibonacci size this story list"
- "story points for these candidates before we create tickets"
Commands
| Mode | Invocation | Side effects |
|---|---|---|
| Default | /mk:story-sizer --paste [--scout] [--story <id>] |
Writes Story Sizing Report only. No Jira calls. |
| Auto-create | /mk:story-sizer --paste --auto-create --project <KEY> [--epic <KEY>] |
After dry-run + single confirmation, delegates ticket creation per story. |
Input
Paste-mode contract: see references/input-adapter.md for the strict markdown template, StoryRecord schema, validation rules, and failure modes. The parser is scripts/parse-paste-stories.py (deterministic; SHA-256 source-hash recorded for the auto-create source-consistency check).
Heuristics
Fibonacci sizing rules: see references/sizing-heuristics.md for complexity dimensions, scoring tables, inconsistency detection, split-proposal triggers, and DoR advisory. Scorer is scripts/score-story.py (integer-arithmetic over text-derived counts; same input → same numeric output).
Output
Report template + slot semantics: references/report-writer.md. Renderer is scripts/write-sizing-report.py. Default path: tasks/reports/story-sizing-{YYMMDD}-{slug}.md. Idempotency by source_hash — repeated runs on the identical paste body re-prompt before overwriting.
What ships with it
13 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.
- assets/sizing-report-template.md 2.3 KB
- references/auto-create-execution.md 5.0 KB
- references/auto-create-gating.md 5.0 KB
- references/injection-patterns.md 2.1 KB
- references/input-adapter.md 3.9 KB
- references/orchestration.md 3.3 KB
- references/report-writer.md 3.0 KB
- references/sizing-heuristics.md 6.4 KB
- scripts/check-auto-create-gating.py 8.4 KB runs code
- scripts/execute-auto-create.py 11 KB runs code
- scripts/parse-paste-stories.py 6.3 KB runs code
- scripts/score-story.py 11 KB runs code
- scripts/write-sizing-report.py 9.3 KB runs code
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.
- 9d ago First seen · 79 lines · 88 tokens per session scan A 4847f0a2deb5
mk:story-sizer is a skill published in the GitHub repository ngocsangyem/MeowKit (14 stars, last pushed 1mo ago), licensed MIT. It adds 88 tokens to every session and 1,240 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 2026-09-03.
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