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 plangit 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/plan)<a href="https://agentmods.dev/skills/paruff/ufawkesai/plan"><img src="https://agentmods.dev/badge/skills/paruff/ufawkesai/plan/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/plan"><img src="https://agentmods.dev/badge/skills/paruff/ufawkesai/plan.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 | $0.00025 | $0.00718 |
| Opus 5 | $0.00013 | $0.00359 |
| Sonnet 5 | $0.00005 | $0.00144 |
| Haiku 4.5 | $0.00003 | $0.00072 |
Grade A, and why
plan 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.
How it starts
The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Plan
Load trigger:
"load plan skill"> DORA: Cap 3 + 5 (AI-Accessible Internal Data + Small Batches) Token cost: Low
Purpose
Decompose intent into sequenced, bounded tasks.
Responsibilities
- Decompose requirements into tasks
- Map dependencies between tasks
- Estimate effort
- Identify risks
- Match skills to tasks
- Align with governance
Sub-Skills
| Skill | Purpose |
|---|---|
plan/task-decomposition |
Break down requirements into tasks |
plan/dependency-mapping |
Map task dependencies |
plan/effort-estimation |
Estimate task effort |
plan/risk-identification |
Identify risks early |
plan/skill-matching |
Match skills to tasks |
plan/governance-alignment |
Ensure governance compliance |
Dependencies
| Skill | Relationship |
|---|---|
spec |
Consumes specification |
design |
Consumes architecture |
Inputs
specification.md(from spec)design.md(from design)- Existing task patterns
Outputs
tasks.jsondependency-graph.jsoneffort-estimates.json
Planning Rules
Task Sizing
- Each task is implementable in a single PR
- Each task is ≤ 400 changed lines
- Each task is independently mergeable
- Dependencies are explicit
Sequencing
- Tasks are ordered by dependency
- Critical path identified
- Parallel opportunities noted
- Bottlenecks documented
Risk Assessment
- Technical risks identified
- Dependencies documented
- Mitigation strategies defined
- Fallback plans noted
Skill Matching
- Each task has a designated agent
- Skills are loaded on demand
- No skill conflicts
- Token budget considered
Output Format
{
"skill": "plan",
"status": "pass | fail",
"tasks": [
{
"id": "TASK-1",
"title": "Implement auth service",
"agent": "build",
"estimated_lines": 150,
"dependencies": [],
"skills": ["build", "security"]
}
],
"dependency_graph": {
"nodes": ["TASK-1", "TASK-2"],
"edges": [["TASK-1", "TASK-2"]]
},
"summary": {
"total_tasks": 5,
"total_estimated_lines": 800,
"critical_path": ["TASK-1", "TASK-3", "TASK-5"]
}
}
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 123 lines · 25 tokens per session scan A 94d5429a69be
plan is a skill published in the GitHub repository paruff/uFawkesAI (2 stars, last pushed 19d ago), licensed MIT. It adds 25 tokens to every session and 718 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.
Other skills, from other repositories
infrastructure-rules
Skill for the rules module — discovery, validation, scope, and private-sidecar symlink sync for the top-level rules/ directory (specifications include soft markdown guidelines and strong yaml/json formal constraints). Use when discovering rules (discoverrules), resolving a rule path (resolveruleroot), validating rule…
infrastructure-project
Skill for the project management infrastructure module providing multi-project discovery, structure validation, and metadata extraction. Use when discovering active projects, validating project directory structure, or extracting project configuration metadata.
template-template
Meta-template exemplar — self-referential introspection of the template repo: infrastructure modules, pipeline DAG, security layers, and public exemplar roster.
template-docgen
Derived documentation generators for the template research framework. Scripts that write to docs/generated/ and update in-place doc blocks.
construction-trades-supervisor
Use when a task needs the judgment of a Construction Trades Supervisor (foreman) — allocating a crew's daily task assignments against a labor-unit budget, deciding whether today's scope requires a formally designated OSHA competent person, arbitrating a trade-sequencing conflict between crews needing the same physical…
architectural-engineering-manager
Use when a task needs the judgment of an Architecture/Engineering firm or department manager — pricing a project fee (lump sum vs. hourly vs. % of construction cost), staffing a project against backlog, evaluating scope creep on a fixed-fee job, managing professional liability exposure, or deciding whether to pursue a…