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 boparaiamrit/skills-by-amrit --skill writing-plansgit clone --depth 1 https://github.com/boparaiamrit/skills-by-amritWrote 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/boparaiamrit/skills-by-amrit/writing-plans)<a href="https://agentmods.dev/skills/boparaiamrit/skills-by-amrit/writing-plans"><img src="https://agentmods.dev/badge/skills/boparaiamrit/skills-by-amrit/writing-plans/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/boparaiamrit/skills-by-amrit/writing-plans"><img src="https://agentmods.dev/badge/skills/boparaiamrit/skills-by-amrit/writing-plans.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 | $0.00029 | $0.02442 |
| Opus 5 | $0.00015 | $0.01221 |
| Sonnet 5 | $0.00006 | $0.00488 |
| Haiku 4.5 | $0.00003 | $0.00244 |
Grade A, and why
writing-plans 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 9d 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.
curl -X POST http://localhost:3000/api/auth/login \ How it starts
The opening of the file, as written. The whole thing — 307 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Writing Plans
Overview
Write implementation plans that are executable prompts, not documents that become prompts. Every word in the plan is read directly by the executor as its instruction set. There is no translation layer.
Core principle: Plans are prompts. If a different agent executed this plan verbatim, they would produce identical results without asking a single clarifying question.
The Iron Laws
1. NO VAGUE STEPS — EVERY TASK HAS <files>, <action>, <verify>, <done>
2. PLANS MUST COMPLETE WITHIN ~50% CONTEXT — if too big, SPLIT
3. 2-3 TASKS PER PLAN MAXIMUM — more plans, smaller scope, consistent quality
Context Engineering (CRITICAL)
Quality degrades as context fills. Plan for this.
| Context Usage | Quality Level | Action |
|---|---|---|
| 0-30% | 🟢 PEAK | Full thoroughness |
| 30-50% | 🟡 GOOD | Still solid |
| 50-70% | 🟠 DEGRADING | Time to split/checkpoint |
| 70%+ | 🔴 POOR | Quality collapse — STOP |
Rules:
- Each plan: 2-3 tasks maximum
- Each task: 15-60 minutes of execution time
- Total plan scope: Completable in a fresh context window
- If you need 10 tasks, that's 4-5 plans, not 1 mega-plan
- "Could this plan be completed with peak-quality output?" If NO → split
When to Use
Always after:
- Brainstorming produces an approved design
- A non-trivial feature request is understood
/discusscaptures user preferences (locked decisions)
Skip when:
- Single-file bug fix with clear cause
- Simple configuration change
- Copy editing
When NOT to Use
- You don't have a design yet (use
brainstormingfirst) - The task is a single-step operation (just do it)
- You're exploring or prototyping (use
brainstormingfor exploration)
Anti-Shortcut Rules
YOU CANNOT:
- Write a task without <files>, <action>, <verify>, <done> fields
- Include "..." or "TODO" in code blocks — complete, copy-pasteable code always
- Write a task that takes > 60 minutes — break it down further
- Skip verification commands — every step has "Run: X, Expected: Y"
- Assume the executor knows the project — include exact paths and anti-patterns
- Write pseudocode — write real, compilable/runnable code
- Leave the test step as "write appropriate tests" — write the actual tests
- Plan more than what was designed — scope is defined by the design document
- Create a plan with more than 3 tasks — SPLIT into multiple plans
- Ignore user decisions from discuss-phase — locked decisions are NON-NEGOTIABLE
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.
- 9d ago First seen · 307 lines · 29 tokens per session scan A cf4a233e108c
writing-plans is a skill published in the GitHub repository boparaiamrit/skills-by-amrit (5 stars, last pushed 5mo ago), licensed MIT. It adds 29 tokens to every session and 2,442 once invoked, about $0.0001 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 2026-09-03.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…