ru-normalizr: Skill for Claude Code

.claude/skills/make-plan/SKILL.md

make-plan is a skill for Claude Code from NickZaitsev/ru-normalizr. It costs 72 tokens per session (1,006 once invoked), scanned A, original, MIT.

A process for writing an implementation plan for a software change and saving it in the project's plans folder.

In plain words
What is it for?
It helps prepare plans for features, fixes, refactors, migrations, or infrastructure changes that another coding agent can carry out.
Why use it?
It makes the plan specific to the existing code by requiring research, verified file and function references, and decisions about scope, storage, defaults, and user experience.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: mentions Claude Code; mentions Codex.

This is NickZaitsev/ru-normalizr's own configuration. It tells Claude Code how to work on ru-normalizr itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ru-normalizr configures →

Reuse

Borrowing it

Nothing to install: this file belongs to NickZaitsev/ru-normalizr. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/NickZaitsev/ru-normalizr/main/.claude/skills/make-plan/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/NickZaitsev/ru-normalizr

Made for: Claude Code.

Wrote this? Show the measurements

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README.md
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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.

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Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,006 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00072 $0.01006
Opus 5 $0.00036 $0.00503
Sonnet 5 $0.00014 $0.00201
Haiku 4.5 $0.00007 $0.00101

Measured 8d ago against content hash c6178faedf82, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

make-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 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.

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/make-plan/SKILL.md · 68 lines

How it starts

The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Create an implementation plan for the requested work (feature, refactor, migration, fix, infra change — any task), written in English (it will be consumed by coding agents — Claude Code / Codex), and save it to docs/agents/plans/YYYY-MM-DD-<kebab-case-slug>.md (date = plan creation date, today; it never changes afterwards — the living state is the Status: line).

Languages: the plan FILE is written in English (it is consumed by coding agents). ALL communication with the user — clarifying questions, decision discussions, the final report — is in Russian.

Process

  1. Research first. Read the relevant code before writing anything. The plan must reference real files, functions, and line-level facts of THIS codebase — not generic advice. Verify every claim (paths, function names, existing patterns) against the actual code.
  2. Grill the user before writing the plan. Interview the user in Russian about every open product/architecture decision (storage, flags, UX, defaults, scope cuts) until you reach a shared understanding. Rules of the interview:
    • Walk down each branch of the decision tree, resolving dependencies between decisions one by one — an answer often opens the next fork.
    • For each question, provide your recommended answer with a short reason.
    • If a question can be answered by exploring the codebase, explore the codebase instead of asking; the decisions themselves are always the user's.
    • Do not start writing the plan until the interview is finished. Record the answers in the "Approved decisions" section (in English, like the rest of the plan).
  3. Write the plan (in English) using the structure below.
  4. Report the created file path and a short summary of the plan to the user in Russian.

Plan file structure

# Plan: <task title>

Status: plan, YYYY-MM-DD.

> Note for agents: this plan is a point-in-time snapshot — its "codebase facts" describe the code as of the date above and may be outdated. Do NOT treat it as current architecture docs; verify every fact against the actual code before relying on it.

## Context
Why this is needed; current behavior; constraints. Relevant external services/APIs with exact endpoints and costs if any.

## Approved decisions
Numbered list of decisions confirmed with the user (flags, defaults, style, storage, scope cuts).

## Key codebase facts
Bullet list of concrete facts an implementing agent needs: file paths, existing patterns to follow, schemas, auth conventions, gotchas. Only verified facts.

## Implementation
Numbered/step-by-step sections (0., 1., 2., …), each naming the exact files to create or modify and what goes in them. Include function signatures, env vars, error-handling and retry policy where relevant.

## Testing & verification
What tests to add/update, what to run, and how to verify end-to-end. Never call paid external APIs from tests.

## Out of scope
What is deliberately NOT done (prevents scope creep).

---
**Maintenance note (for the implementing agent):** when this plan is implemented, update the `Status:` line above, e.g. `Status: implemented YYYY-MM-DD in branch `feat/<name>``. If the plan changes during implementation, update the affected sections too — the plan must not lie about what was built.

Read the full file on GitHub · 68 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. 8d ago First seen · 68 lines · 72 tokens per session scan A c6178faedf82

Subscribe to this mod's changes

make-plan is a skill published in the GitHub repository NickZaitsev/ru-normalizr (22 stars, last pushed 1mo ago), licensed MIT. It adds 72 tokens to every session and 1,006 once invoked, about $0.0004 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.