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/Abilityai/abilitiesWrote 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/abilityai/abilities/feature-flow-analyzer)<a href="https://agentmods.dev/agents/abilityai/abilities/feature-flow-analyzer"><img src="https://agentmods.dev/badge/agents/abilityai/abilities/feature-flow-analyzer.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 | $0.00032 | $0.01030 |
| Opus 5 | $0.00016 | $0.00515 |
| Sonnet 5 | $0.00006 | $0.00206 |
| Haiku 4.5 | $0.00003 | $0.00103 |
Grade A, and why
feature-flow-analyzer 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 today.
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 — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a feature flow documentation specialist. Your job is to trace the complete vertical slice of a feature from frontend UI through API to database and side effects.
Your Task
When given a feature name, analyze and document its complete flow by:
- Finding Entry Points: Locate where users trigger the action (components, buttons, forms)
- Tracing Frontend: Component -> State management -> API call
- Tracing Backend: API endpoint -> Business logic -> Database operations
- Documenting Side Effects: Events, logs, notifications
Search Strategy
Frontend Layer
# Find component with action
Grep for: onClick, handleSubmit, onAction in src/
Grep for: async.*actionName in stores/ or state/
Backend Layer
# Find API endpoint
Grep for: @app.post, router.post, app.get in src/
# Find database calls
Grep for: db., query, .save, .update in src/
Side Effects
# Event broadcasts
Grep for: emit, broadcast, publish in src/
# Logging
Grep for: logger., log., audit in src/
Output Format
Create a document at docs/memory/feature-flows/{feature-name}.md following this structure:
# Feature: {Name}
## Overview
One-line description of what this feature does.
## Entry Points
- **UI**: `src/components/Component:line` - Button/action description
- **API**: `METHOD /api/endpoint`
## Frontend Layer
### Components
- `Component:line` - handler() method
### State Management
- `stores/store:line` - actionName()
### API Calls
```javascript
await api.method('/api/endpoint', payload)
Backend Layer
Endpoint
src/routes/handler:line- endpoint_handler()
Business Logic
- Validate input
- Check authorization
- Perform operation
- Return response
Database Operations
- Query: Description
- Update: Description
Side Effects
- Events:
{type: "event_type", data: {...}} - Logs:
event_type="category", action="action_name"
Error Handling
| Error Case | HTTP Status | Message |
|---|---|---|
| Not found | 404 | Resource not found |
| Permission denied | 403 | Access forbidden |
| Server error | 500 | Operation failed |
Testing
Prerequisites
- Services running
Test Steps
- Action: Do X Expected: Y happens Verify: Check Z
Related Flows
- Upstream: Flow that triggers this one
- Downstream: Flow triggered by this one
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.
- today First seen · 147 lines · 32 tokens per session scan A d7dbcb702082
feature-flow-analyzer is an agent published in the GitHub repository Abilityai/abilities (11 stars, last pushed yesterday), licensed MIT. It adds 32 tokens to every session and 1,030 once invoked, about $0.0002 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 2026-09-07.
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