Agent skill

Verification Planning

by akitaonrails in akitaonrails/my-skills

Verification planning for non-trivial coding work. An agent skill from akitaonrails/my-skills.

No licenceAuto-check passedDevelopment

Install Verification Planning

skills CLI
$ npx skills add akitaonrails/my-skills --skill verification-planning -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install akitaonrails/my-skills verification-planning --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/akitaonrails/my-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/verification-planning .claude/skills/verification-planning && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
verification-planning
GitHub stars
216
Token cost
~1.1k tokens
SKILL.md length
617 words
Files
1
Skills in repo
18
Repo updated
First seen
Licence
None found

At a glance

Verification planning for non-trivial coding work. An agent skill from akitaonrails/my-skills.

  • Works in 6 steps: Frame the claim → Design the evidence path → Create a verification affordance when… → …
  • Tasks that involve Debugging
  • SKILL.md covers Build an evidence path, 1. Frame the claim, 2. Design the evidence path and Set a verification budget, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Verification Planning is an agent skill from akitaonrails/my-skills. Verification planning for non-trivial coding work. Use before implementing a feature, bug fix, refactor, cross-system change, or high-confidence behavior change that needs a credible project-specific evidence path.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Debugging. The repository describes itself as: akitaonrails' personal skills (not tailored for general usage).

When your agent uses it

  • Tasks that involve Debugging

Example prompts

  • “/verification-planning”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Frame the claim
  2. Design the evidence path
  3. Create a verification affordance when needed
  4. Research when the path is unknown
  5. Make the path runnable
  6. Close the evidence path

What it can do on your machine

Read from SKILL.md and the folder at commit 285ca82. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Verification Planning loads about 1.1k tokens when it runs. Until then it costs about 59 tokens; SKILL.md has 617 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~59
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 617 words (~1,146 tokens).

“Before changing a non-trivial system, build an evidence path: a project-specific route from the claim being made to evidence that can establish, limit, or refute it.”

— opening of SKILL.md by akitaonrails
name
verification-planning

Read the full SKILL.md on GitHub

Files

Just SKILL.md in verification-planning of akitaonrails/my-skills.

Open the folder on GitHubat commit 285ca82

Compare with similar skills

Verification Planning next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Verification Planning compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Verification Planning this skillakitaonrails/my-skills216—~1.1kAutomated safety check: PassNone
Trellis Session Insightmindfold-ai/Trellis15k4 repos~1.7kAutomated safety check: PassAGPL-3.0
Native Data FetchingCherryHQ/cherry-studio-app4k6 repos~2.9kAutomated safety check: NotesMIT
Debugging Executionsn8n-io/n8n207k—~2.6kAutomated safety check: PassCustom licence
Aoti Debugpytorch/pytorch104k1 repos~1.7kAutomated safety check: PassCustom licence
Herdr Throwaway Reproductionherdrdev/herdr43k—~2.4kAutomated safety check: PassApache-2.0

Similar skills

  • Trellis Session Insight

    mindfold-ai/Trellis

    Reach into past AI conversation history through the trellis mem CLI.

    15k GitHub starsUsed in 4 repos~1.7k tokens
    DevelopmentAuto-check passed
  • Native Data Fetching

    CherryHQ/cherry-studio-app

    A skill your agent uses when implementing or debugging ANY network request, API call, or data fetching.

    4k GitHub starsUsed in 6 repos~2.9k tokens
    DevelopmentAuto-check: notes
  • Official

    Debug failed or wrong-output workflow executions using executions tools.

    207k GitHub stars~2.6k tokensUpdated today
    DevelopmentAuto-check passed
  • Aoti Debug

    pytorch/pytorch

    Debug AOTInductor (AOTI) errors and crashes. An agent skill from pytorch/pytorch.

    104k GitHub starsUsed in 1 repo~1.7k tokens
    DevelopmentAuto-check passed
  • Runs a disposable, uniquely named Herdr session inside an existing one so runtime, pane, terminal or API bugs can be reproduced without touching the main session.

    43k GitHub stars~2.4k tokensUpdated 2 days ago
    DevelopmentAuto-check passed
  • Systematic Debugging

    ultralisp/ultralisp

    A skill your agent uses when encountering any bug, test failure, or unexpected behavior, before proposing fixes

    258 GitHub starsUsed in 52 repos~2.4k tokens
    DevelopmentAuto-check passed

More from akitaonrails/my-skills

All 18 skills in this repo
  • Fact Check

    akitaonrails/my-skills

    Adversarial fact-checking of the user's articles and essays (typically blog posts from akitaonrails-hugo, any markdown/text file), verifying every claim against online primary sources via cheap…

    220 GitHub stars~2.7k tokensUpdated today
    Auto-check passed
  • Blog Cost Charts

    akitaonrails/my-skills

    Generate dark-themed cost-vs-score bubble scatter charts and score/(costtime) value-ranking bar charts for a blog post comparing LLM benchmark results (or any dataset with a score/cost/time shape)…

    220 GitHub stars~2k tokensUpdated today
    Auto-check passed
  • Codemap

    akitaonrails/my-skills

    Generate comprehensive hierarchical codemaps for UNFAMILIAR repositories.

    220 GitHub stars~1.7k tokensUpdated today
    Auto-check passed
  • Clonedeps

    akitaonrails/my-skills

    Clone important project dependency source code into an ignored local workspace so OpenCode can inspect library internals.

    220 GitHub stars~2.1k tokensUpdated today
    Auto-check passed
  • GitHub Resolution

    akitaonrails/my-skills

    Execute the approved outcomes of a pr-audit and/or iss-audit — fix or adjust everything the audit found necessary before merging, verify no regressions, cover every new behavior with unit tests…

    220 GitHub stars~4.3k tokensUpdated today
    Auto-check passed
  • Post Refactor

    akitaonrails/my-skills

    Post-refactor clean-code check after recent refactors or a few merged PRs.

    220 GitHub stars~1.5k tokensUpdated today
    Auto-check: notes

Categories

Questions about Verification Planning

What does Verification Planning do?

Verification planning for non-trivial coding work. An agent skill from akitaonrails/my-skills. Verification Planning is an agent skill from akitaonrails/my-skills. Verification planning for non-trivial coding work.

When should I use Verification Planning?

Verification Planning fits situations like: tasks that involve Debugging.

How do I install Verification Planning in Claude Code?

Run `npx skills add akitaonrails/my-skills --skill verification-planning -a claude-code`. Or copy the skill folder (verification-planning in akitaonrails/my-skills) into .claude/skills/verification-planning in your project. Claude Code loads it when a task matches its description.

How do I install Verification Planning in Codex?

Run `npx skills add akitaonrails/my-skills --skill verification-planning -a codex`. Or copy the skill folder (verification-planning in akitaonrails/my-skills) into .agents/skills/verification-planning in your project. Codex loads it when a task matches its description.

Can I use Verification Planning in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add akitaonrails/my-skills --skill verification-planning -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/verification-planning, .gemini/skills/verification-planning, .github/skills/verification-planning and .opencode/skills/verification-planning in your project.

What does Verification Planning need to run?

SKILL.md names no scripts, command-line tools or credentials: Verification Planning is instructions for the agent only.

Does Verification Planning access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Verification Planning safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Verification Planning use?

No licence was found for Verification Planning or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Verification Planning use?

About 1.1k tokens (SKILL.md is roughly 4.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Verification Planning?

Skills that share tags, products or a category with Verification Planning: Trellis Session Insight (mindfold-ai/Trellis, 15k stars), Native Data Fetching (CherryHQ/cherry-studio-app, 4k stars), Debugging Executions (n8n-io/n8n, 207k stars) and Aoti Debug (pytorch/pytorch, 104k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Verification Planning?

akitaonrails (a GitHub user) maintains it in akitaonrails/my-skills, which has 216 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on September 23, 2026.

Source: akitaonrails/my-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.