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 Abilityai/abilities --skill feature-flow-analysisgit 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/skills/abilityai/abilities/feature-flow-analysis)<a href="https://agentmods.dev/skills/abilityai/abilities/feature-flow-analysis"><img src="https://agentmods.dev/badge/skills/abilityai/abilities/feature-flow-analysis/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/abilityai/abilities/feature-flow-analysis"><img src="https://agentmods.dev/badge/skills/abilityai/abilities/feature-flow-analysis.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 | $0.00020 | $0.00948 |
| Opus 5.5 | $0.00008 | $0.00379 |
| Sonnet 5.5 | $0.00004 | $0.00190 |
| Haiku 4.5 | $0.00002 | $0.00095 |
Grade A, and why
feature-flow-analysis 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.
How it starts
The opening of the file, as written. The whole thing — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Feature Flow Analysis
ℹ️ First, set expectations: before anything else, print one short line with this skill's version and its most recent change — the top entry of
metadata.changelogabove — e.g.feature-flow-analysis vX.Y — recent: <summary>. Then proceed.
Create or update a feature flow document for end-to-end understanding.
State Dependencies
| Source | Location | Read | Write | Description |
|---|---|---|---|---|
| Feature Flows Index | docs/memory/feature-flows.md |
✅ | ✅ | Flow index (keep minimal!) |
| Feature Flow Doc | docs/memory/feature-flows/{name}.md |
✅ | ✅ | Flow document |
| Frontend Code | src/frontend/ |
✅ | UI components | |
| Backend Code | src/backend/ |
✅ | API endpoints |
Arguments
$ARGUMENTS- Feature name (e.g., "user-login", "payment-processing")
Process
Step 1: Identify Feature
If no feature name provided, ask for one.
Step 2: Trace Execution Path
Frontend (UI -> State -> API)
- Find UI entry point (component, button/action)
- Trace to state management (store/context)
- Document API call made
Backend (Endpoint -> Logic -> Data)
- Find API endpoint handler
- Trace business logic
- Document database operations
Side Effects (if applicable)
- Background jobs, notifications, external integrations
Step 3: Document Side Effects
- Event broadcasts
- Log events
- State changes
Step 4: Document Error Handling
- What can fail?
- HTTP status codes
- Error messages
Step 5: Add Testing Section
Include step-by-step testing instructions:
## Testing
### Prerequisites
- Services running
### Test Steps
1. **Action**: Do X
**Expected**: Y happens
**Verify**: Check Z
Step 6: Save Flow Document
Write to: docs/memory/feature-flows/{feature-name}.md
Step 7: Update Index (MINIMAL!)
CRITICAL: The index is for navigation, not documentation.
For NEW flows, add:
- ONE row to "Recent Updates" table
- ONE row to the appropriate category table
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 · 163 lines · 20 tokens per session scan A 384bb0ee5b01
feature-flow-analysis is a skill published in the GitHub repository Abilityai/abilities (12 stars, last pushed 3d ago), licensed MIT. It adds 20 tokens to every session and 948 once invoked, about $0.0001 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 2026-09-07.
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