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/smicolon/ai-kit/flow-detectornpx skills add smicolon/ai-kit --skill flow-detectorgit clone --depth 1 https://github.com/smicolon/ai-kitWrote 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/smicolon/ai-kit/flow-detector)<a href="https://agentmods.dev/skills/smicolon/ai-kit/flow-detector"><img src="https://agentmods.dev/badge/skills/smicolon/ai-kit/flow-detector.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 | $0.00092 | $0.01799 |
| Opus 5 | $0.00046 | $0.00899 |
| Sonnet 5 | $0.00018 | $0.00360 |
| Haiku 4.5 | $0.00009 | $0.00180 |
Grade A, and why
flow-detector 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 — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Flow Detector
Detect end-to-end flows for a vague task. Output is structured candidates, not questions.
Activation Triggers
This skill activates when:
- The user runs
/clarify "<task>"or invokes@clarifier. - The user describes a task using vague verbs: send, notify, sync, handle, process, integrate, support, fire, dispatch, push, alert, log.
- The user mentions a ticket reference and the description doesn't fully pin down the implementation surface.
Core Principle
Every candidate flow is a complete answer, not a piece of one. The user picks between whole flows, not between individual dimensions. Do not emit candidates that differ only in trivial parameters (timeout values, log level, retry count) — those are defaults inside one flow.
Process
1. Read the task description
Extract:
- The verb (what is being done)
- Any explicit entity mention (User, Tenant, Order, etc.)
- Any explicit trigger mention (on signup, after payment, etc.)
- Any explicit recipient mention (to the user, to the team, etc.)
2. Ground in the codebase
Before generating candidates, scan the repo for evidence:
- Entities: search for likely model files —
User,Tenant,Org,Account,Workspace,Team,Member. Note which exist. - Auth surfaces: search for
sign-in,signin,login,signup,register,authenticate,auth/,/api/auth. Note routes/handlers. - Notification channels: search for email senders (
sendgrid,ses,resend,mailer), push (fcm,apns,expo), in-app (notificationstable/service), SMS (twilio). - Async infrastructure: queues (
bullmq,celery,sidekiq), background jobs, event buses. - Failure infrastructure: retry libs, dead-letter queues, error reporters (
sentry,bugsnag).
Anchor every candidate in symbols you found. A candidate that mentions infrastructure the repo doesn't have is a defect — either reframe the candidate as "build new X" or drop it.
3. Generate candidates
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 · 155 lines · 92 tokens per session scan A 78dbacf0092d
flow-detector is a skill published in the GitHub repository smicolon/ai-kit (6 stars, last pushed today), licensed MIT. It adds 92 tokens to every session and 1,799 once invoked, about $0.0005 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 2026-08-31.
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