implement-plan

implement-plan is a skill for Claude Code from NickZaitsev/ru-normalizr. It costs 48 tokens per session (723 once invoked), scanned A, original, MIT.

A workflow for carrying out an existing implementation plan stored in docs/agents/plans/.

In plain words
What is it for?
Use it to locate a plan, mark it in progress, implement its steps, run the required checks, and mark it implemented when finished.
Why use it?
It keeps the plan’s status and task checklist aligned with the actual work, while requiring testing and phase-by-phase implementation.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

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.

agentmods
npx agentmods add skills/nickzaitsev/ru-normalizr/implement-plan
Any agent
npx skills add NickZaitsev/ru-normalizr --skill implement-plan
Clone the repo
git clone --depth 1 https://github.com/NickZaitsev/ru-normalizr

Made for: Claude Code.

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 implement-plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/nickzaitsev/ru-normalizr/implement-plan.svg)](https://agentmods.dev/skills/nickzaitsev/ru-normalizr/implement-plan)
Your own site
<a href="https://agentmods.dev/skills/nickzaitsev/ru-normalizr/implement-plan"><img src="https://agentmods.dev/badge/skills/nickzaitsev/ru-normalizr/implement-plan.svg" alt="Measured on agentmods" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 723 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00048 $0.00723
Opus 5 $0.00024 $0.00362
Sonnet 5 $0.00010 $0.00145
Haiku 4.5 $0.00005 $0.00072

Measured 6d ago against content hash 3c4f4b37dcff, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

implement-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 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.

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.

.claude/skills/implement-plan/SKILL.md · 35 lines

How it starts

The opening of the file, as written. The whole thing — 35 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Languages: all edits to the plan file are in English (like the plan itself). ALL communication with the user — questions, discrepancy reports, the final report — is in Russian.

Process

  1. Locate and read the whole plan. If the user didn't name a file, list plans in docs/agents/plans/ with status plan / in progress and ask in Russian which one to implement. If the plan's status is implemented or rejected, stop and confirm with the user before proceeding.
  2. Mark the plan started: set Status: in progress since YYYY-MM-DD..
  3. Implement step by step in the plan's order, committing per phase (atomic conventional commits per repo rules).
  4. Test as you go, but don't over-test. Run the plan's checks per stage, BUT skip a stage's test run when a later plan stage will exercise the same code anyway — speed matters; one honest end-to-end verification at the end (plan's "Testing & verification" section + repo lint/type-check/test rules) is mandatory and cannot be skipped.
  5. After each large stage (or a few small ones), compact the context yourself if your harness lets you trigger compaction. Stage boundaries are where compacting loses the least.
  6. Close the plan — this is part of "Done":
    • Update the status line: Status: implemented YYYY-MM-DD in branch \`.` (add short caveats if something was skipped).
    • Correct any sections where the implementation diverged — the plan must not lie about what was built.
    • Commit the plan update (may be folded into the final feature commit).
  7. Report to the user in Russian — a TL;DR, not a wall of text: a few short bullets covering what was built, any divergences from the plan, and how it was verified. Details stay in the plan file and commits; expand only if the user asks.

If some change doesn't make sense or wrong, let the user know.

Don't execute a broken step

No dedicated verification pass is needed — plans are usually implemented right after being written. But keep your eyes open: if while implementing you see that a plan step is wrong or won't work (relies on code that doesn't exist / behaves differently, contradicts something you've already built, would produce a broken result), do NOT execute it as written. Stop, explain in Russian what's wrong and what you propose instead, and agree with the user before continuing.

Read the full file on GitHub · 35 lines

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. 6d ago First seen · 35 lines · 48 tokens per session scan A 3c4f4b37dcff

Subscribe to this mod's changes

implement-plan is a skill published in the GitHub repository NickZaitsev/ru-normalizr (22 stars, last pushed 29d ago), licensed MIT. It adds 48 tokens to every session and 723 once invoked, about $0.0002 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 2026-08-30.

Related

Other skills, from other repositories

api-contrib

Contributing to the Kokoro-FastAPI Python API: module layout, endpoint gating pattern, test expectations. Use when adding or changing endpoints, services, or inference code.

remsky/Kokoro-FastAPI · 39 tokens

add-migration

Write a migration ledger entry for a configuration schema change in pipelex, so that a user's existing file can be repaired instead of thrown away. Use when make check-migration-schemas (alias cmig) or make check-ledger (alias cl) refuses a change, when the user says "add a migration", "write the ledger entry", "the…

Pipelex/pipelex · 154 tokens

bump-kajson

Move this repo's exact kajson dependency pin to the latest release on PyPI (or a version you name), re-lock, adapt the engine to whatever the new release changed, retire any workaround the release makes unnecessary, run the checks, and write the CHANGELOG entry — stopping before the commit. Use whenever the user says…

Pipelex/pipelex · 286 tokens

update-graph-ui

Bump the pinned @pipelex/mthds-ui (and elkjs) version that the generated ReactFlow HTML loads from jsDelivr. Re-fetches the bundle, recomputes SRI hashes, and updates the Python constants in standaloneassets.py. Use when user says "update graph ui", "bump mthds-ui", "update graph viewer", "new version of mthds-ui", or…

Pipelex/pipelex · 106 tokens

minimax-cli

Nested swiss-knife reference for the MiniMax mmx CLI and the canonical MiniMax CLI procedure shipped with the TUI: install mmx-cli, discover the correct TUI-managed MiniMax preset/key slot without leaking secrets, match mainland vs international regions, and route image/video/music/TTS generation or one-shot shell…

Lingtai-AI/lingtai · 72 tokens

video-script

对已完成分析的视频进行导演与剪辑策划,再写带时间戳的中文解说并校验。workdir 已包含 agentnarrationbrief.md 与 vlmanalysis.json 时使用。适用于故事方向、片段选择、画面/原声/旁白分工、 解说写作与复核。输入 workdir 中的理解索引;输出 recapstoryplan.json、visualaudioboard.json、 可选 stylecard.json、cut 模式需要的 clipplan.json,以及通过校验的 narration.json。触发词:解说词、写解说、视频旁白、 narration script、写稿、解说文案、剪辑思路、导演思路。.

zenstory-ai/video-recap-skills · 154 tokens