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 agentmods add skills/whitebeardit/.cursor/skill-planningnpx skills add whitebeardit/.cursor --skill skill-planninggit clone --depth 1 https://github.com/whitebeardit/.cursorWrote 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/whitebeardit/.cursor/skill-planning)<a href="https://agentmods.dev/skills/whitebeardit/.cursor/skill-planning"><img src="https://agentmods.dev/badge/skills/whitebeardit/.cursor/skill-planning.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 | $0.00038 | $0.00792 |
| Opus 5 | $0.00019 | $0.00396 |
| Sonnet 5 | $0.00008 | $0.00158 |
| Haiku 4.5 | $0.00004 | $0.00079 |
Grade A, and why
planning 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 6d 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.
- **Manual**: curl/Postman checks for a narrow endpoint behavior How it starts
The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Planning & Orchestration
This skill helps you transform an ambiguous or messy situation into a small-steps execution plan with clear verification criteria, aligned with the repository's conventions.
When to Use
✅ DO Use:
- When the user asks for a plan/strategy instead of code
- When requirements are unclear or the scope is large
- When you need to sequence tasks (tests → refactor → security → docs)
- When coordinating multiple subagents (testing, refactor, security, documentation)
- When you must preserve constraints (architecture rules, contracts, dependencies)
❌ DON'T Use:
- Trivial tasks with 1–2 obvious steps
- When the user explicitly asked for implementation right now (skip planning and implement)
- When you already have a validated plan and only need execution
Core Concepts
1) Constraints First
Capture non-negotiables before proposing steps:
- Tech stack/runtime constraints (Node/TS, frameworks)
- Architecture rules (layer boundaries, repositories required, etc.)
- Contract-first requirements (OpenAPI, runtime validation)
- Observability/security baselines (logging, correlation id, rate limit, helmet)
2) Incremental Delivery (Micro-iterations)
Prefer small, verifiable increments over big-bang rewrites. Each iteration should have:
- A single goal
- Minimal change set
- A verification step (tests, lint, manual smoke check)
- A clear rollback story (what to revert if it fails)
3) Verification Is Part of the Plan
Every planned step must have at least one verification method:
- Automated: unit/integration tests, contract validation, linting
- Manual: curl/Postman checks for a narrow endpoint behavior
- Safety: ensure sensitive fields (e.g., passwords) never leak
Planning Patterns
Pattern 1: Situation Snapshot
In 5–10 lines, summarize:
- What exists today (endpoints, modules, structure)
- What is broken/risky (security holes, missing validation, lack of tests)
- What must not change (API contract, core behavior, compatibility)
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.
- 6d ago First seen · 94 lines · 38 tokens per session scan A 2d23e299b622
planning is a skill published in the GitHub repository whitebeardit/.cursor (12 stars, last pushed 6mo ago), licensed MIT. It adds 38 tokens to every session and 792 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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