Kdrive Sentry Rca
Infomaniak/desktop-kDrive
Investigate kDrive crashes, Sentry issues, and application logs to produce source-grounded root cause analyses.
Delegate a source-grounded design or code review to a fresh pi CLI process using sol or luna, then address verified findings until no blockers remain.
Install Pi Review
$ npx skills add natsukium/dotfiles --skill pi-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install natsukium/dotfiles pi-review --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/natsukium/dotfiles.git skills-src && mkdir -p .claude/skills && cp -r skills-src/modules/features/coding-agents/common/skills/pi-review .claude/skills/pi-review && rm -rf skills-srcUse ~/.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/
Install the "pi-review" agent skill from https://github.com/natsukium/dotfiles/tree/main/modules/features/coding-agents/common/skills/pi-review into .claude/skills/pi-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pi-review", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/natsukium/dotfiles/tree/main/modules/features/coding-agents/common/skills/pi-reviewType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add natsukium/dotfiles --skill pi-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install natsukium/dotfiles pi-review --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/natsukium/dotfiles.git skills-src && mkdir -p .agents/skills && cp -r skills-src/modules/features/coding-agents/common/skills/pi-review .agents/skills/pi-review && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "pi-review" agent skill from https://github.com/natsukium/dotfiles/tree/main/modules/features/coding-agents/common/skills/pi-review into .agents/skills/pi-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pi-review", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add natsukium/dotfiles --skill pi-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install natsukium/dotfiles pi-review --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/natsukium/dotfiles.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/modules/features/coding-agents/common/skills/pi-review .cursor/skills/pi-review && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "pi-review" agent skill from https://github.com/natsukium/dotfiles/tree/main/modules/features/coding-agents/common/skills/pi-review into .cursor/skills/pi-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pi-review", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/natsukium/dotfiles.git --path modules/features/coding-agents/common/skills/pi-review--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add natsukium/dotfiles --skill pi-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install natsukium/dotfiles pi-review --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/natsukium/dotfiles.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/modules/features/coding-agents/common/skills/pi-review .gemini/skills/pi-review && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "pi-review" agent skill from https://github.com/natsukium/dotfiles/tree/main/modules/features/coding-agents/common/skills/pi-review into .gemini/skills/pi-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pi-review", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install natsukium/dotfiles pi-reviewInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add natsukium/dotfiles --skill pi-review -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/natsukium/dotfiles.git skills-src && mkdir -p .github/skills && cp -r skills-src/modules/features/coding-agents/common/skills/pi-review .github/skills/pi-review && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "pi-review" agent skill from https://github.com/natsukium/dotfiles/tree/main/modules/features/coding-agents/common/skills/pi-review into .github/skills/pi-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pi-review", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add natsukium/dotfiles --skill pi-review -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install natsukium/dotfiles pi-review --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/natsukium/dotfiles.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/modules/features/coding-agents/common/skills/pi-review .opencode/skills/pi-review && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "pi-review" agent skill from https://github.com/natsukium/dotfiles/tree/main/modules/features/coding-agents/common/skills/pi-review into .opencode/skills/pi-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pi-review", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
pi-review- GitHub stars
- 106
- Token cost
- ~972 tokens
- SKILL.md length
- 459 words
- Files
- 3 (incl. scripts, references)
- Skills in repo
- 10
- Repo updated
- First seen
- Licence
- CC0-1.0
At a glance
Delegate a source-grounded design or code review to a fresh pi CLI process using sol or luna, then address verified findings until no blockers remain.
- Works in 5 steps: Read the review and verify each cited… → Fix accepted blockers and run the… → Start a fresh review with the previous… → …
- Explicitly asked to get a review from pi/sol/luna
- SKILL.md covers Models, Prepare the review, Run the review and Iterate
- 「piにレビューもらって」「レビュー通して」
What it does
Pi Review is an agent skill from natsukium/dotfiles. Delegate a source-grounded design or code review to a fresh pi CLI process using sol or luna, then address verified findings until no blockers remain. Use when explicitly asked to "get a review from pi/sol/luna", 「piにレビューもらって」「レビュー通して」, or to obtain a fresh independent-context review.
Its SKILL.md is about 970 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts and reference files (for example `references/reviewer.md`).
It sits in Knowledge Management, covering Source-grounded notebooks. The repository describes itself as: Nix dotfiles for NixOS, Darwin and WSL. The licence is CC0-1.0.
When your agent uses it
- Explicitly asked to get a review from pi/sol/luna
- 「piにレビューもらって」「レビュー通して」
- Obtain a fresh independent-context review
Example prompts
- “get a review from pi/sol/luna”
- “/pi-review”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Read the review and verify each cited location and failure mechanism.
- Fix accepted blockers and run the relevant checks.
- Start a fresh review with the previous findings and resolutions recorded in the
- Continue until the verdict is PASS. Do not change the target for a mistaken or
- Report each round's verdict and the accepted or rejected findings to the user.
What it can do on your machine
Read from SKILL.md and the folder at commit 31561dd. 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
Ships 1 file in scripts/, which the agent can run.
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
Pi Review loads about 972 tokens when it runs, and up to ~1.3k if it reads all its reference files. Until then it costs about 74 tokens; SKILL.md has 459 words of instructions outside code blocks.
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); the scripts in this folder are not scanned.
SKILL.md
The full file from natsukium/dotfiles at commit 31561dd, republished under its CC0-1.0 licence (© natsukium). 459 words, ~972 tokens.
Download SKILL.mdSave it as
.claude/skills/pi-review/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- pi-review
- description
- Delegate a source-grounded design or code review to a fresh `pi` CLI process using sol or luna, then address verified findings until no blockers remain. Use when explicitly asked to "get a review from pi/sol/luna", 「piにレビューもらって」「レビュー通して」, or to obtain a fresh independent-context review.
Reviews Through pi
Run a fresh pi process so the review does not inherit the calling conversation. The reviewer inspects the repository; the calling agent verifies findings and owns any revisions.
Models
| Model | Use for |
|---|---|
openai-codex/gpt-6.1-sol | Adversarial design or diff review; final gate |
openai-codex/gpt-6-luna | Early drafts, quick checks, and triage between sol rounds |
Use an explicitly requested model. Otherwise use luna for an early pass and sol for high-risk reasoning or the final pass.
Prepare the review
Write the change-specific information to a scratch file outside the repository:
# Review context
Target: <document or change>
Review range: <git diff, git diff --cached, or base...HEAD; omit for a document>
Revision context: <what changed and why>
Focus: <risks to examine>
Previous findings: <findings and claimed resolutions, or none>For a design, attach the document with --attach. For code, let pi inspect the
named Git range and surrounding source instead of copying the diff into the prompt.
The fixed review criteria and output format live in ./references/reviewer.md,
which the script passes itself.
Run the review
./scripts/pi-review launches pi detached from the calling shell and waits for it
in a separate step, so the review survives a caller whose shell is killed or
timed out. Run it from inside the target repository: it starts pi at the
repository root and refuses to start elsewhere.
<skill-directory>/scripts/pi-review start --out /abs/scratch/review-1 \
--context /abs/scratch/review-context.md [--attach /abs/path/design.md] [--model luna]
<skill-directory>/scripts/pi-review wait /abs/scratch/review-1--model defaults to sol. wait prints the review, saves it to <out>.md, and
exits 0 for PASS, 1 for BLOCKED, and 2 when pi ended without a verdict (its
stderr is in <out>.err; that is not a review result). Sol rounds take 13 to 50
minutes and luna 10 to 15.
Where the caller's command timeout is shorter than a review, pass
wait --timeout <seconds> below that limit and call wait again after exit 124;
the review keeps running in between. Claude Code may instead run wait as a
background command and act on its completion notice. wait exits 3 when the
event stream has been silent for 15 minutes (--stall); then run
pi-review stop <out> and start the round once more. Stop a review only through
stop, which kills the recorded pid: a pkill -f pattern naming the model also
matches the calling shell's own command line.
Show full SKILL.md (129 more words)Show less
PI_REVIEW_WORKER=1 is set by the script: pi then omits this delegation skill
from the child while loading other global and project skills normally.
Iterate
- Read the review and verify each cited location and failure mechanism.
- Fix accepted blockers and run the relevant checks.
- Start a fresh review with the previous findings and resolutions recorded in the
new context file. Narrow
Focusas the remaining risk changes. - Continue until the verdict is
PASS. Do not change the target for a mistaken or out-of-scope finding; record the evidence or scope boundary in the next context. After three consecutiveBLOCKEDrounds, stop and ask the user whether the direction still holds before starting another. - Report each round's verdict and the accepted or rejected findings to the user.
© natsukium, CC0-1.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files (scripts, references) in modules/features/coding-agents/common/skills/pi-review of natsukium/dotfiles.
- SKILL.md
- references/reviewer.md
- scripts/pi-review
Open the folder on GitHubat commit 31561dd
Compare with similar skills
Pi Review 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Pi Review this skillnatsukium/dotfiles | 106 | — | ~972 | Automated safety check: Pass | CC0-1.0 | |
| Kdrive Sentry RcaInfomaniak/desktop-kDrive | 120 | — | ~4.1k | Automated safety check: Pass | GPL-3.0 | |
| NotebookLM Automationteng-lin/notebooklm-py | 20k | — | ~4.1k | Automated safety check: Pass | MIT | |
| Zlibrary To Notebooklmzstmfhy/zlibrary-to-notebooklm | 1.7k | 1 repos | ~968 | Automated safety check: Pass | MIT | |
| Multi-Source to NotebookLM Processorjoeseesun/qiaomu-anything-to-notebooklm | 6.2k | — | ~3.6k | Automated safety check: Pass | MIT | |
| Learn From Materialsdmoshehun-prog/learn-from-materials | 947 | — | ~7.9k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Pi Review
What does Pi Review do?
Delegate a source-grounded design or code review to a fresh pi CLI process using sol or luna, then address verified findings until no blockers remain. Pi Review is an agent skill from natsukium/dotfiles. Delegate a source-grounded design or code review to a fresh pi CLI process using sol or luna, then address verified findings until no blockers remain.
When should I use Pi Review?
Pi Review fits situations like: explicitly asked to get a review from pi/sol/luna; 「piにレビューもらって」「レビュー通して」; obtain a fresh independent-context review.
How do I install Pi Review in Claude Code?
Run `npx skills add natsukium/dotfiles --skill pi-review -a claude-code`. Or copy the skill folder (modules/features/coding-agents/common/skills/pi-review in natsukium/dotfiles) into .claude/skills/pi-review in your project. Claude Code loads it when a task matches its description.
How do I install Pi Review in Codex?
Run `npx skills add natsukium/dotfiles --skill pi-review -a codex`. Or copy the skill folder (modules/features/coding-agents/common/skills/pi-review in natsukium/dotfiles) into .agents/skills/pi-review in your project. Codex loads it when a task matches its description.
Can I use Pi Review 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 natsukium/dotfiles --skill pi-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pi-review, .gemini/skills/pi-review, .github/skills/pi-review and .opencode/skills/pi-review in your project.
What does Pi Review need to run?
SKILL.md names no scripts, command-line tools or credentials: Pi Review is instructions for the agent only.
Does Pi Review 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 Pi Review 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Pi Review use?
Pi Review is published under the CC0-1.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Pi Review use?
About 972 tokens (SKILL.md is roughly 3.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 296 tokens, read only when the agent opens those files.
What are the alternatives to Pi Review?
Skills that share tags, products or a category with Pi Review: Kdrive Sentry Rca (Infomaniak/desktop-kDrive, 120 stars), NotebookLM Automation (teng-lin/notebooklm-py, 20k stars), Zlibrary To Notebooklm (zstmfhy/zlibrary-to-notebooklm, 1.7k stars) and Multi-Source to NotebookLM Processor (joeseesun/qiaomu-anything-to-notebooklm, 6.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Pi Review?
natsukium (a GitHub user) maintains it in natsukium/dotfiles, which has 106 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on October 10, 2026.
Source: natsukium/dotfiles on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.