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.
git clone --depth 1 https://github.com/Intai/story-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/commands/intai/story-flow/learn-story-flow)<a href="https://agentmods.dev/commands/intai/story-flow/learn-story-flow"><img src="https://agentmods.dev/badge/commands/intai/story-flow/learn-story-flow/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/commands/intai/story-flow/learn-story-flow"><img src="https://agentmods.dev/badge/commands/intai/story-flow/learn-story-flow.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 | $0.00010 | $0.00187 |
| Opus 5.5 | $0.00004 | $0.00075 |
| Sonnet 5.5 | $0.00002 | $0.00037 |
| Haiku 4.5 | $0.00001 | $0.00019 |
Grade A, and why
learn-story-flow 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 1mo 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
If a topic is provided ($1), load the corresponding skill using the Skill tool:
- Load skill:
junior-flow:learn-$1
If no topic is provided, output the following exactly:
Which topic would you like to explore? (Enter the number or topic name)
| # | Topic | Description |
|---|---|---|
| 1 | technical-design |
Why discuss technical design before implementation? |
| 2 | review-implementation |
Why review implementation even with 100% test coverage? |
| 3 | bdd-scenarios |
What defines effective, complete BDD scenarios? |
After the developer selects a topic, load the corresponding skill.
If the requested topic doesn't exist, inform the developer and show the available topics table above.
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.
- 1mo ago First seen · 26 lines · 10 tokens per session scan A a679cb0fd5d4
learn-story-flow is a command published in the GitHub repository Intai/story-flow (14 stars, last pushed yesterday), licensed MIT. It adds 10 tokens to every session and 187 once invoked, about $0.0000 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 2026-08-30.
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