write-plan

write-plan is a skill for Claude Code, Codex from AyushParkara/syntra. It costs 35 tokens per session (280 once invoked), scanned A, original, Apache-2.0.

A guide for turning a coding task into a short sequence of ordered steps that can each be checked independently.

In plain words
What is it for?
Writing implementation plans with concrete outputs, checks, risk notes, and a final verification step.
Why use it?
It makes the work easier to follow and provides a clear way to verify that it is finished.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: model in frontmatter.

Good fit Writing implementation plans with concrete outputs, checks, risk notes, and a final verification step.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ayushparkara/syntra/write-plan
Install

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.

Any agent
npx skills add AyushParkara/syntra --skill write-plan
Clone the repo
git clone --depth 1 https://github.com/AyushParkara/syntra

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for write-plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/ayushparkara/syntra/write-plan/github.svg)](https://agentmods.dev/skills/ayushparkara/syntra/write-plan)
Your own site
<a href="https://agentmods.dev/skills/ayushparkara/syntra/write-plan"><img src="https://agentmods.dev/badge/skills/ayushparkara/syntra/write-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.

agentmods 80×15 button for write-plan

Your own site · 80×15
<a href="https://agentmods.dev/skills/ayushparkara/syntra/write-plan"><img src="https://agentmods.dev/badge/skills/ayushparkara/syntra/write-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 280 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00035 $0.00280
Opus 5.5 $0.00014 $0.00112
Sonnet 5.5 $0.00007 $0.00056
Haiku 4.5 $0.00003 $0.00028

Measured 1mo ago against content hash 7d3b5c5281cd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

write-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 1mo 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.

syntra/skills/write-plan/SKILL.md · 31 lines

What it actually says

You are writing an execution plan. Each step must be small and checkable.

Method:

  1. State the goal in one sentence.
  2. Break it into steps that are each ~2-5 minutes of work — small enough that a different worker could execute one without further clarification.
  3. Order steps so each builds on the previous. Step 1 establishes the core decision; later steps use it (no concept drift).
  4. For each step, note: what it produces, and how you'd verify it's done.
  5. Flag any step that touches risky areas (data loss, money, security).

Rules:

  • 3-8 steps for most tasks. If more, the task should be split.
  • No filler steps. Each must move the goal forward.
  • Steps reference concrete files/functions where known.
  • End with a verification step (test, run, check) — "done" must be provable.

Output format:

GOAL: ...
1. <step>  → produces: ... | verify: ...
2. <step>  → produces: ... | verify: ...
...
Changes

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.

  1. 1mo ago First seen · 31 lines · 35 tokens per session scan A 7d3b5c5281cd

Subscribe to this mod's changes

write-plan is a skill published in the GitHub repository AyushParkara/syntra (5 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 35 tokens to every session and 280 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-31.

Related

Other skills, from other repositories

optimization

Use when improving performance, latency, throughput, memory usage, or general efficiency. Start by defining target metrics, measuring comprehensively, attributing bottlenecks, validating with static analysis, and prioritizing macro-optimizations before micro-optimizations.

1jehuang/jcode · 52 tokens

gpt-image-gen

MUST read before generating images. Prompt-crafting guide for gpt-image-2.5 covering tool routing (native imagegeneration server tool vs the generateimage tool), model and quality selection, prompt structure, exact text rendering, reference-image editing, transparent assets, output formats, and multi-turn refinement.

code-yeongyu/senpi · 66 tokens

tmux-manual-qa

Run a single manual tmux-based QA scenario for the todo continuation feature against the real CLI (./pi-test.sh) in an interactive TUI. Captures scrollback, asserts deterministic pass/fail count markers, and cleans up test fixtures. Use only for the manual-qa milestone features.

code-yeongyu/senpi · 66 tokens

coding-agent-extension-worker

Implements a single feature in the pi-mono todotools builtin extension work. Use for refactoring, continuation runtime, config resolver, prompt builder, test authoring, golden snapshots, CHANGELOG entries, and harness helpers. Does NOT do manual tmux QA.

code-yeongyu/senpi · 61 tokens

bun-1-4

Read before a js eval cell that installs a package, spawns a server or PTY, or starts a long run, and before any bun -e, script, server, CLI, test, bundle, or package-management work: this session's eval js kernel runs Bun 1.4+ (this skill is present only when it does). Bun 1.4 ships builtins that replace 15+ npm deps…

code-yeongyu/senpi · 173 tokens

pi-package-sandbox-test

Use when verifying that published Pi packages install and load for normal users, including pi.dev package compatibility checks, release validation, Daytona sandbox tests, and package installability audits.

spences10/my-pi · 40 tokens