Agent skill

At Self Eval

by kairyou in kairyou/agent-tools

Summarize a contributor's Git history, a provided work log, or both into a concise, review-friendly self-evaluation for quarterly, semi-annual, or promotion cycles.

MITAuto-check passedDevelopment

Install At Self Eval

skills CLI
$ npx skills add kairyou/agent-tools --skill at-self-eval -a claude-code

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

GitHub CLI
$ gh skill install kairyou/agent-tools at-self-eval --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/kairyou/agent-tools.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/workflow/at-self-eval .claude/skills/at-self-eval && 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
at-self-eval
GitHub stars
178
Token cost
~1.6k tokens
SKILL.md length
887 words
Files
1
Skills in repo
8
Repo updated
First seen
Licence
MIT

At a glance

Summarize a contributor's Git history, a provided work log, or both into a concise, review-friendly self-evaluation for quarterly, semi-annual, or promotion cycles.

  • Tasks that involve Git workflow
  • SKILL.md covers Author and date window, Project evidence, Optional logs and Group the work, plus 1 more section
  • Calls git

What it does

At Self Eval is an agent skill from kairyou/agent-tools. Summarize a contributor's Git history, a provided work log, or both into a concise, review-friendly self-evaluation for quarterly, semi-annual, or promotion cycles.

Its SKILL.md is about 1.6k 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 Git workflow. It works with Git. The repository describes itself as: Reusable Agent Skills, plus integrations (statusline, provider usage, vision) that install into Codex, Claude Code, and opencode. The licence is MIT.

When your agent uses it

  • Tasks that involve Git workflow

Example prompts

  • “/at-self-eval”

What it can do on your machine

Read from SKILL.md and the folder at commit acc2563. 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

    Shell commands in SKILL.md call:

    • git

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

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    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

At Self Eval loads about 1.6k tokens when it runs. Until then it costs about 44 tokens; SKILL.md has 887 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~44
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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

The full file from kairyou/agent-tools at commit acc2563, republished under its MIT licence (© kairyou). 887 words, ~1,582 tokens.

Download SKILL.mdSave it as .claude/skills/at-self-eval/SKILL.md (or your agent's skills folder).
name
at-self-eval
description
Summarize a contributor's Git history, a provided work log, or both into a concise, review-friendly self-evaluation for quarterly, semi-annual, or promotion cycles.
argument-hint
[<author>] [--from yyyy-mm-dd] [--to yyyy-mm-dd]

Self-Evaluation Summary

resolve evidence -> group by business line -> deduplicate -> <=8 outcomes -> review

Author and date window

Normalize flags or plain language such as 统计1-3月的产出 and 统计上半年的工作 into (author, from, to). Explicit input wins; fill only missing values:

User gaveResolve to
from and touse both
only fromto = today
only tofrom = Jan 1 of that year
no rangecurrent quarter

Parse half-years, calendar quarters, month ranges, and rolling periods. A spoken period without a year means the current year, except months still ahead of today, which mean the previous year. Query through <to + 1 day> because Git's --until is exclusive. Always exclude merge commits.

Use an explicit author when supplied; otherwise resolve it independently per repository with git -C <root> config user.name. Never infer aliases or use the remote login as the author. List candidates with git -C <root> log --no-merges --since=<from> --until=<to+1day> --format=%H%x09%an --branches HEAD <upstream refs>, taking the upstream refs from git -C <root> for-each-ref --format=%(upstream) refs/heads/; passing no ref walks only the current branch, so work on an unmerged branch reads as no activity, while --all reaches into remote branches nobody tracks. Keep the rows whose %an equals that name exactly. Never pass --author: it matches the whole Name <email> header, so anchored patterns silently match nothing. If no commits match, report that together with the author names the window actually holds; do not try spelling or language variants. When results exist, mention once that the user can provide other author names if needed.

Project evidence

Read optional workProjects from ~/.agent-tools/config.jsonc. An entry is a path or { "path", "prompt" }, where the prompt is free text this skill follows for that project, such as how to label items or which commits to skip.

  • No project named: current Git repository plus configured projects.
  • Projects named directly: only those projects.
  • "Also include" / 另外包含: add them to the default scope.

Resolve paths to Git roots and deduplicate them. Report invalid paths; a non-Git current directory does not block other valid projects. Do not clone remote URLs without consent.

Inspect all local branches, current HEAD, user-named branches, and configured upstreams. Unless the user requests local-only data, refresh only the configured upstream branches, grouped into one best-effort git fetch --no-tags <remote> <branch...> per involved remote. Fetch failure is non-fatal. Do not change the working tree or local branch history. Deduplicate commits by hash.

Begin the result with the resolved author/window and, for multiple repositories, a plain-language list of the repositories checked. Mention remote-update failures without Git jargon. Do not show commit counts or a generic source line.

Show full SKILL.md (461 more words)Show less

Optional logs

A pasted daily/weekly log or explicit file path provides business context. If neither is supplied, optionally read dailyLog.output and log.output (an automatically recorded AI session log; a dated markdown file, or a directory of per-day <date>.md reports, of which read the dates inside the window; entries under log.projects may add their own output paths, check those too) from ~/.agent-tools/config.jsonc; when log.format is daily, its single-line results may be truncated and are not standalone proof of an outcome. When it is detailed, the per-day reports are stronger evidence; use them as supplementary material, not as a replacement for Git or user confirmation. If the log block or its output is absent, skip this source. The latter also captures work that never produced commits, such as troubleshooting or research sessions. Explicit conversation input always wins; a missing key or file is non-fatal.

Commit-backed items may be summarized directly. Keep log-only work separate for user confirmation; include it only after confirmation, using only dates stated in the log or by the user. Never turn undated log text into work inside the selected window.

When the user asks for a summary from a log alone, skip project scanning; when the window has no Git evidence, fall back to the log. Either way the log becomes the primary source: say so in the result and skip per-item confirmation, as the whole draft is the user's own account.

If the user supplies a remote repository URL, ask before cloning it to a temporary directory and remove it afterward unless asked to keep it. Confirm before scanning every remote branch.

Group the work

Group related commits into business-line or module outcomes. Fold lint, formatting, version bumps, repeated syncs, and follow-up fixes into the outcome they supported. Drop isolated trivial housekeeping. Similar subjects alone are not duplicates; use the repository, changed paths, and intent, and surface uncertain attribution for review.

Write the summary

Output a numbered list with no more than 8 top-level outcomes. Each item starts with the business line/module and states a concrete result with 2-4 key points or one concise sentence. Prefer high-impact delivery, architecture, and key fixes; condense or omit routine work. Do not distribute the quota evenly if that hides standout results.

Mention a concentrated month only when it adds useful distribution context, never as a productivity score. Match the user's language. Every confirmed outcome must trace to a commit or a user-confirmed log item.

text
> 作者: <author> · 窗口: 2026-01-01 ~ 2026-06-30 · (自动推断, 如不对请指正)
> 项目: <repo1> · <repo2>

1. <业务线A>: <结果>; <关键点>
2. <业务线B>: <结果>

End with one reminder that this is a draft requiring review. Do not write it to a file unless asked. Add at most one extra hint, and only when evidence is likely incomplete:

  • unconfirmed log-only work exists;
  • terse commits lack business context and no log was available;
  • the conversation or log provides concrete evidence of unscanned projects/branches.

© kairyou, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/workflow/at-self-eval of kairyou/agent-tools.

Open the folder on GitHubat commit acc2563

Compare with similar skills

At Self Eval 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.

At Self Eval compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
At Self Eval this skillkairyou/agent-tools178—~1.6kAutomated safety check: PassMIT
Finishing a Development Branchobra/superpowers297k5 repos~1.9kAutomated safety check: PassMIT
Code Design Rationale Investigatorcursor/plugins11k9 repos~2.6kAutomated safety check: PassNone
Contributor-First PR MergeHKUDS/OpenHarness16k1 repos~847Automated safety check: PassMIT
Migrate Internal Package into GhostTryGhost/Ghost56k—~3.8kAutomated safety check: PassMIT
Create Pull Requestcline/cline70k1 repos~1.6kAutomated safety check: PassApache-2.0

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Works with

Categories

Questions about At Self Eval

What does At Self Eval do?

Summarize a contributor's Git history, a provided work log, or both into a concise, review-friendly self-evaluation for quarterly, semi-annual, or promotion cycles. At Self Eval is an agent skill from kairyou/agent-tools. Summarize a contributor's Git history, a provided work log, or both into a concise, review-friendly self-evaluation for quarterly, semi-annual, or promotion cycles.

When should I use At Self Eval?

At Self Eval fits situations like: tasks that involve Git workflow.

How do I install At Self Eval in Claude Code?

Run `npx skills add kairyou/agent-tools --skill at-self-eval -a claude-code`. Or copy the skill folder (skills/workflow/at-self-eval in kairyou/agent-tools) into .claude/skills/at-self-eval in your project. Claude Code loads it when a task matches its description.

How do I install At Self Eval in Codex?

Run `npx skills add kairyou/agent-tools --skill at-self-eval -a codex`. Or copy the skill folder (skills/workflow/at-self-eval in kairyou/agent-tools) into .agents/skills/at-self-eval in your project. Codex loads it when a task matches its description.

Can I use At Self Eval 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 kairyou/agent-tools --skill at-self-eval -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/at-self-eval, .gemini/skills/at-self-eval, .github/skills/at-self-eval and .opencode/skills/at-self-eval in your project.

What does At Self Eval need to run?

Going by SKILL.md and its folder, At Self Eval needs the command-line tools its instructions call (git).

Does At Self Eval access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is At Self Eval 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 At Self Eval use?

At Self Eval is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does At Self Eval use?

About 1.6k tokens (SKILL.md is roughly 6.3k 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 At Self Eval?

Skills that share tags, products or a category with At Self Eval: Finishing a Development Branch (obra/superpowers, 297k stars), Code Design Rationale Investigator (cursor/plugins, 11k stars), Contributor-First PR Merge (HKUDS/OpenHarness, 16k stars) and Migrate Internal Package into Ghost (TryGhost/Ghost, 56k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains At Self Eval?

kairyou (a GitHub user) maintains it in kairyou/agent-tools, which has 178 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on October 8, 2026.

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