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 paruff/uFawkesAI --skill dependency-mappinggit clone --depth 1 https://github.com/paruff/uFawkesAIWrote 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/paruff/ufawkesai/dependency-mapping)<a href="https://agentmods.dev/skills/paruff/ufawkesai/dependency-mapping"><img src="https://agentmods.dev/badge/skills/paruff/ufawkesai/dependency-mapping/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/paruff/ufawkesai/dependency-mapping"><img src="https://agentmods.dev/badge/skills/paruff/ufawkesai/dependency-mapping.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 | $0.00023 | $0.00468 |
| Opus 5 | $0.00012 | $0.00234 |
| Sonnet 5 | $0.00005 | $0.00094 |
| Haiku 4.5 | $0.00002 | $0.00047 |
Grade A, and why
dependency-mapping 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 8d 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
Skill: Dependency Mapping
Load trigger:
"load dependency-mapping skill"> DORA: Cap 3 (AI-Accessible Internal Data) Token cost: Low
Purpose
Determine the correct ordering and dependencies between tasks.
Responsibilities
- Identify task prerequisites
- Identify parallelizable tasks
- Build dependency graph
- Detect circular dependencies
Inputs
tasks.json
Outputs
dependency-graph.json
Mapping Rules
Prerequisite Detection
- Task B cannot start until Task A completes if B uses A's output
- Shared files imply ordering (last-writer-wins)
- Tests depend on implementation tasks
- Deployment depends on build and test tasks
Parallelism Detection
- Tasks with no shared dependencies can run in parallel
- Independent modules can be built concurrently
- Tests for different features can run in parallel
Circular Dependency Detection
- No task depends on itself (directly or transitively)
- No circular chains exist in the dependency graph
- If cycles detected, flag for human resolution
Graph Format
{
"nodes": [
{
"task_id": "TASK-001",
"title": "Task title",
"estimated_lines": 150
}
],
"edges": [
{
"from": "TASK-001",
"to": "TASK-002",
"reason": "TASK-002 uses output from TASK-001"
}
],
"parallel_groups": [["TASK-003", "TASK-004"]],
"critical_path": ["TASK-001", "TASK-002", "TASK-005"]
}
Success Criteria
- Dependency graph is valid and complete
- No circular dependencies
- Critical path identified
- Parallelizable tasks identified
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.
- 8d ago First seen · 85 lines · 23 tokens per session scan A 1489ae7c38a7
dependency-mapping is a skill published in the GitHub repository paruff/uFawkesAI (2 stars, last pushed 19d ago), licensed MIT. It adds 23 tokens to every session and 468 once invoked, about $0.0001 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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