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 ashrafmusa/agenticana --skill plan-writinggit clone --depth 1 https://github.com/ashrafmusa/agenticanaWrote 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/ashrafmusa/agenticana/plan-writing)<a href="https://agentmods.dev/skills/ashrafmusa/agenticana/plan-writing"><img src="https://agentmods.dev/badge/skills/ashrafmusa/agenticana/plan-writing/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/ashrafmusa/agenticana/plan-writing"><img src="https://agentmods.dev/badge/skills/ashrafmusa/agenticana/plan-writing.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 | $0.00031 | $0.01019 |
| Opus 5 | $0.00015 | $0.00509 |
| Sonnet 5 | $0.00006 | $0.00204 |
| Haiku 4.5 | $0.00003 | $0.00102 |
Grade A, and why
plan-writing scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| "Test the API" | "curl localhost:3000/api/users returns 200" | This is a copy
95% identical to plan-writing — 11 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Plan Writing
Source: obra/superpowers
Overview
This skill provides a framework for breaking down work into clear, actionable tasks with verification criteria.
Task Breakdown Principles
1. Small, Focused Tasks
- Each task should take 2-5 minutes
- One clear outcome per task
- Independently verifiable
2. Clear Verification
- How do you know it's done?
- What can you check/test?
- What's the expected output?
3. Logical Ordering
- Dependencies identified
- Parallel work where possible
- Critical path highlighted
- Phase X: Verification is always LAST
4. Dynamic Naming in Project Root
- Plan files are saved as
{task-slug}.mdin the PROJECT ROOT - Name derived from task (e.g., "add auth" →
auth-feature.md) - NEVER inside
.claude/,docs/, or temp folders
Planning Principles (NOT Templates!)
🔴 NO fixed templates. Each plan is UNIQUE to the task.
Principle 1: Keep It SHORT
| ❌ Wrong | ✅ Right |
|---|---|
| 50 tasks with sub-sub-tasks | 5-10 clear tasks max |
| Every micro-step listed | Only actionable items |
| Verbose descriptions | One-line per task |
Rule: If plan is longer than 1 page, it's too long. Simplify.
Principle 2: Be SPECIFIC, Not Generic
| ❌ Wrong | ✅ Right |
|---|---|
| "Set up project" | "Run npx create-next-app" |
| "Add authentication" | "Install next-auth, create /api/auth/[...nextauth].ts" |
| "Style the UI" | "Add Tailwind classes to Header.tsx" |
Rule: Each task should have a clear, verifiable outcome.
Principle 3: Dynamic Content Based on Project Type
For NEW PROJECT:
- What tech stack? (decide first)
- What's the MVP? (minimal features)
- What's the file structure?
For FEATURE ADDITION:
- Which files are affected?
- What dependencies needed?
- How to verify it works?
For BUG FIX:
- What's the root cause?
- What file/line to change?
- How to test the fix?
Principle 4: Scripts Are Project-Specific
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 · 153 lines · 31 tokens per session scan A 93cd02ab3c43
plan-writing is a skill published in the GitHub repository ashrafmusa/agenticana (2 stars, last pushed yesterday), licensed MIT. It adds 31 tokens to every session and 1,019 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 95% identical to plan-writing, differing in 11 lines, and is treated as a copy.
Other skills, from other repositories
skill-creator-primer
You MUST load this skill before the skill-creator skill AND before making ANY change to, or conducting a review of ANY Agent Skill. Triggers include creating, editing, reviewing, or contributing to any part of an Agent Skill (description, frontmatter, body, references, scripts, trigger evals, conflicts, etc).
llm-wiki
Use when building or maintaining a self-contained personal knowledge base (an LLM wiki) in plain markdown. Triggers: ingesting sources into a wiki, querying wiki knowledge, linting wiki health, auditing article claims against their sources, critiquing a wiki source's reasoning, superseding stale knowledge, 'add to…
extract-wisdom
Extract wisdom, insights, and actionable takeaways from YouTube videos, blog posts, articles, or text files. Use when asked to extract wisdom or key insights from a given content source.
apply-mantel-styles
Provides guidelines for applying Mantel's brand styles to diagrams and frontend components. Use when asked to create visuals that need to align with Mantel's branding.
home-assistant
This skill should be used when helping with Home Assistant setup, including creating automations, modifying dashboards, checking entity states, debugging automations, and managing the smart home configuration. Use this for queries about HA entities, YAML automation/dashboard generation, or troubleshooting HA issues.
deepeval
Use when discussing or working with DeepEval (the python AI evaluation framework).