Agent skill

Personal Assistant Review

by edonyzpc in edonyzpc/personal-assistant

Review uncommitted or PR diffs in the personal-assistant Obsidian plugin with project-specific risk lanes, second-layer future-risk checks, severity discipline, subagent review routing, and…

AGPL-3.0Auto-check passedProduct & Project Management

Install Personal Assistant Review

skills CLI
$ npx skills add edonyzpc/personal-assistant --skill personal-assistant-review -a claude-code

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

GitHub CLI
$ gh skill install edonyzpc/personal-assistant personal-assistant-review --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/edonyzpc/personal-assistant.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/personal-assistant-review .claude/skills/personal-assistant-review && 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
personal-assistant-review
GitHub stars
147
Token cost
~3.2k tokens
SKILL.md length
1,467 words
Files
2
Skills in repo
19
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Review uncommitted or PR diffs in the personal-assistant Obsidian plugin with project-specific risk lanes, second-layer future-risk checks, severity discipline, subagent review routing, and…

  • Works in 5 steps: Treat the task as review-only unless the… → Bound the current surface → Read the requirements/current contract,… → …
  • The user asks for code review
  • SKILL.md covers Core Rule, Start, Mode Selection and Subagent Lanes, plus 7 more sections
  • Calls git, npm and make

What it does

Personal Assistant Review is an agent skill from edonyzpc/personal-assistant. Review uncommitted or PR diffs in the personal-assistant Obsidian plugin with project-specific risk lanes, second-layer future-risk checks, severity discipline, subagent review routing, and validation boundaries. Use when the user asks for code review, agent team review, multi-angle review, review-first analysis, code-level release-readiness review, hidden side effects, compatibility risk, edge cases, security/performance risk, test gaps, maintenance cost, or comparison of review quality in this repository. For a…

Its SKILL.md is about 3.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Product & Project Management, covering UI design, Design review and critique and Subagents. It works with Obsidian and Git. The repository describes itself as: A plugin that harnesses AI agents and streamlining techniques to help you automatically manage Obsidian. The licence is AGPL-3.0.

When your agent uses it

  • The user asks for code review
  • Agent team review
  • Multi-angle review
  • Review-first analysis

Example prompts

  • “/personal-assistant-review”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Treat the task as review-only unless the user explicitly asks to fix.
  2. Bound the current surface
  3. Read the requirements/current contract, targeted diffs, and necessary
  4. Lead the final answer with findings ordered by severity.
  5. State validation run and validation not run.

What it can do on your machine

Read from SKILL.md and the folder at commit 5c22410. 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
    • npm
    • make

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

  • Network

    No URLs in SKILL.md. Its commands use git and npm, 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

Personal Assistant Review loads about 3.2k tokens when it runs. Until then it costs about 169 tokens; SKILL.md has 1,467 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~169
When it runs · the whole SKILL.md, loaded when a task matches
~3.2k

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 edonyzpc/personal-assistant at commit 5c22410, republished under its AGPL-3.0 licence (© edonyzpc). 1,467 words, ~3,248 tokens.

Download SKILL.mdSave it as .claude/skills/personal-assistant-review/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
personal-assistant-review
description
Review uncommitted or PR diffs in the personal-assistant Obsidian plugin with project-specific risk lanes, second-layer future-risk checks, severity discipline, subagent review routing, and validation boundaries. Use when the user asks for code review, agent team review, multi-angle review, review-first analysis, code-level release-readiness review, hidden side effects, compatibility risk, edge cases, security/performance risk, test gaps, maintenance cost, or comparison of review quality in this repository. For a cross-surface UI/UX design audit, use `ui-ux-design-audit`; for stable or beta release preparation, use the matching release skill.

Personal Assistant Review

Core Rule

Use this skill for review-only or review-first work in the personal-assistant repository.

Default to high-signal review. Find correctness, product-contract, state, privacy, concurrency, docs/tests consistency, and release-blocking risks before polish. Treat green checks and working happy paths as supporting evidence, not closure. Do not invent findings to satisfy a role or lane.

Start

  1. Treat the task as review-only unless the user explicitly asks to fix.
  2. Bound the current surface:
    • git status --short --branch
    • git diff --stat
    • git diff --name-only
  3. Read the requirements/current contract, targeted diffs, and necessary dependencies before the implementer's conclusions. Form an independent view, then reconcile their explanation and validation evidence. For PA Agent/runtime/command changes, first check the Command Architecture Contract against the task's owner/factual-basis mapping and real call chain. Host admission must use explicit authority or execution facts, not prose intent; correctable attempts and accepted/unknown effects must remain distinct. This is a normal gate check before green-test acceptance, not optional polish.
  4. Lead the final answer with findings ordered by severity.
  5. State validation run and validation not run.

Mode Selection

Use gate mode by default. This matches prompts such as:

text
启动agent team对代码修改进行review
review current diff
release-readiness review

Gate mode optimizes for accurate P0/P1/P2 findings and direct fixability.

Use exploration mode when the user explicitly asks for many perspectives, for example:

text
从程序员、架构师、产品经理、UI/UX、性能、desktop&mobile多端支持等角度评审
多角度体检
全面扫描产品、架构、UI 和性能

Exploration mode may include P3 design debt and polish, but still must not force a finding per role.

Use hybrid mode for broad diffs when unsure: run gate mode first, then add optional exploration findings under a separate Optional Polish section.

Subagent Lanes

Select lanes from the actual diff and its affected dependencies; the examples below are not mandatory read sets. Use independent subagent lanes when requested or when parallel work saves time or improves coverage. Keep a narrow review local when splitting adds no value; if tools are unavailable, cover the relevant risks locally. Docs/skills-only reviews need no unrelated Pagelet/runtime lane.

Assign bounded risk questions without requiring a finding from each lane. Follow AGENTS.md Multi-Agent Validation Coordination: the main agent merges evidence and schedules expensive gates; reviewers report findings and focused evidence without each running full tests/build/deploy. Review-only lanes do not edit files, including while a final gate is running.

Gate Mode Lanes
  1. Functional state and concurrency

    • Inspect Pagelet orchestration, foreground run guards, stale result handling, save state, panel/tab routing, command aliases, hidden side effects on old state, and tests.
    • Focus files: src/pagelet/orchestrator.ts, src/pagelet/AnalysisSessionManager.ts, src/pagelet/ReviewNoteSaveFlow.ts, src/pagelet/BubbleCoordinator.ts, src/pagelet/commands.ts, src/pagelet/panel/PanelView.ts, src/pagelet/tab/*, touched Pagelet tests.
  2. Spec, docs, tests, i18n, product contract

    • Compare runtime behavior against changed docs and SDD/plans.
    • Inspect docs that changed plus relevant contract docs, especially Pagelet async-result, write-action, release, Memory/VSS, and tracker docs.
    • Check whether tests encode a behavior that contradicts a product/privacy non-goal.
    • Keep deterministic harness, actual-model semantic/recovery and real-app evidence distinct; none substitutes for another changed boundary.
    • Check whether tests cover failure, compatibility, stale-state, and concurrency edges, not only the easiest success path.
  3. Obsidian/community compatibility and lifecycle

    • Scan for runtime DOM injection blockers: createElement('style'), innerHTML =, outerHTML =.
    • Inspect timers, listeners, observers, root unmount, CSS scope, public exports, old settings, command ids, storage scopes, generated assets, packaging/deploy impact, and compatibility-sensitive APIs.
  4. UI/UX/accessibility/mobile

    • Inspect focus management, keyboard behavior, ARIA, mobile overflow, touch gestures, text clipping, theme variables, and ordinary-user copy (follow Memory/VSS Product Rules from AGENTS.md for user-facing terms).
    • Keep UI findings concrete: include the visible symptom or user flow.
  5. Performance, safety, and maintainability

    • Inspect repeated scans, render loops, large-vault behavior, sync waits, background work, unnecessary provider calls, and teardown/unload behavior.
    • Inspect note text exposure, provider output persistence, file writes, external links, and command-triggered AI work for security/privacy risk.
    • Inspect misleading names, helper boundaries, and abstractions that could cause future callers to use an API incorrectly.
Exploration Mode Lanes

Use the gate lanes, then add perspectives only where relevant:

  • programmer/correctness
  • architect/module boundaries
  • product manager/workflow and value
  • UI/UX/accessibility
  • performance/rendering
  • desktop/mobile support
  • security/privacy
  • naming/maintenance cost

Do not let these labels create coverage pressure. If a lane has no actionable issue, say so.

Maintainability And Probe Reliability

  • For a new module or complex state change, walk through one plausible change adjacent to the current requirement. Locate the entry point, state owner, and invariants a future maintainer must preserve without the implementation conversation. Use the exercise to expose concrete coupling or misleading APIs; do not implement the hypothetical feature or require speculative abstractions. Apply the existing severity rules to any resulting finding.
  • For changed tests/checkers/probes, select the risks they actually exercise: semantic comparison rather than incidental object-key order, text/frontmatter boundaries, async cleanup, repeatability, and expectations derived from the contract rather than copied implementation assumptions. Do not turn this list into a mandatory test matrix for every feature.
  • Before relying on a new or materially changed probe's verdict, inspect the smallest normal and counterexample evidence for its relevant assertion. It must accept valid behavior and reject the failure it claims to detect. Missing evidence is a validation gap; review-only work reports it without writing fixtures or changing production code to satisfy the checker.
Show full SKILL.md (640 more words)Show less

Second-Layer Risk Lens

After the normal gate pass, assume the changed code compiles and the happy path works. Before closing the review, ask what could still become a future bug:

  • hidden side effects on old state, existing commands, settings, persisted data, generated assets, or unrelated views
  • compatibility breaks across Obsidian versions, mobile/desktop, old plugin settings, storage scopes, command ids, public exports, and release packaging
  • edge cases not covered by tests: failure paths, retries, empty data, stale async results, concurrent runs, teardown/unload, degraded providers, and large vaults
  • performance risks from repeated scans, render loops, sync waits, background work, unnecessary provider calls, or memory growth
  • security/privacy risks around note text, provider output, persisted state, file writes, external links, and command-triggered AI work
  • misleading names, helper boundaries, or abstractions that make future callers likely to use the API incorrectly
  • tests that only prove the easiest success path and do not pin product, privacy, compatibility, or lifecycle behavior

Every second-layer finding still needs a concrete trigger path, code reference, or verifiable assumption. If the concern is plausible but not proven, label it as P3, needs decision, or optional polish instead of presenting it as a blocker.

Project Risk Checklist

Use this checklist to guide search, not to manufacture findings.

Pagelet:

  • sourcePath vs primarySourcePath vs saveFlow.pending.targetPath
  • currentPanelLayout and discovery/summary/review routing
  • PanelView.close() / onClose clearing state unexpectedly
  • stale foreground review results and pet/panel state transitions
  • beginForegroundReviewRun() consistency across review, discovery, summary, and other provider-backed foreground work
  • pending generated markdown or provider output persisted in Obsidian view state, workspace state, settings, or vault files without explicit approval
  • resolveRelatedMarkdownNote / getFirstLinkpathDest source-path context
  • bubble quick actions that start AI/provider work before clear data/cost/scope disclosure
  • keyboard focus restoration from bubble, panel, and native detail tab
  • SVG graph keyboard/touch behavior and label clipping
  • legacy command aliases and command labels

Memory/VSS:

  • durable vs fallback behavior
  • VSS operation queue / exclusive lock for mutating operations
  • dirty state, background reconcile, retry/backoff, and chat non-blocking paths
  • user-facing copy per Memory/VSS Product Rules from AGENTS.md

Community/release:

  • no runtime <style> injection
  • no innerHTML / outerHTML assignment in plugin DOM code
  • generated styles.css matches Tailwind source for CSS changes
  • release docs and links point to existing files or clearly future assets
  • package/deploy paths include any new runtime assets

Severity Rules

Use severity to reflect user impact and release risk.

  • P0: data loss, source-note corruption, security/privacy breach, plugin unusable on common path.
  • P1: release-blocking correctness or product-contract violation, especially privacy/data persistence, explicit SDD non-goal violation, broken write guard, or community review Error.
  • P2: must-fix before merge/release for likely user-visible failure, state/concurrency bug, wrong file write/open, broken docs link in release material, serious accessibility/focus problem.
  • P3: optional polish, maintainability debt, visual refinement, performance concern without clear user-visible failure.

If a finding depends on a design decision rather than a definite bug, label it as needs decision or optional polish. Do not escalate vague future risk to a blocker unless there is a likely user-visible, privacy, data-safety, compatibility, or release impact.

Validation

For code/DOM changes, run the Local Validation Gate from AGENTS.md, scoped to the changed surface. Use its docs/skills-only checks for instruction changes. For broad Pagelet or shared-runtime diffs, also include npm run lint.

Apply AGENTS.md Validation Planning And Reuse and Test Failure Diagnosis; reuse checks with verified inputs/results and request only missing evidence for a concrete risk. The main agent coordinates expensive gates as above.

Per AGENTS.md Testing Instructions, do not claim Obsidian validation without deployed evidence. If make deploy and real test-vault smoke were not run, state it.

Output

Use this structure:

markdown
**Findings**
- P1/P2/P3 [file](/absolute/path:line): concise issue.
  Impact/trigger. Suggested fix.

**Validation**
- checks run
- checks not run / residual risk

**Notes**
- optional polish, second-layer risks, test gaps, or needs-decision items, only
  when useful

Keep summaries secondary. If there are no actionable findings, say that clearly and list remaining validation gaps.

  • To triage and implement fixes from this review, use personal-assistant-review-followup.
  • For cross-surface UI/UX design audits and visual baselines, use ui-ux-design-audit.
  • For app-level smoke validation, use obsidian-test-vault-smoke.
  • For real-device iOS validation, use obsidian-ios-real-device-smoke.
  • For community compliance scan before release, use obsidian-community-check.

© edonyzpc, AGPL-3.0. 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 1 other file in .agents/skills/personal-assistant-review of edonyzpc/personal-assistant.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit 5c22410

Compare with similar skills

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Coherence AuditorGoogleChrome/modern-web-guidance-src1.1k—~864Automated safety check: PassApache-2.0
QA Releasejitpass/jit161—~1.1kAutomated safety check: PassCustom licence
Graphsmallnest/goal-workflow291—~3.9kAutomated safety check: PassMIT

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Works with

Questions about Personal Assistant Review

What does Personal Assistant Review do?

Review uncommitted or PR diffs in the personal-assistant Obsidian plugin with project-specific risk lanes, second-layer future-risk checks, severity discipline, subagent review routing, and…. Personal Assistant Review is an agent skill from edonyzpc/personal-assistant. Review uncommitted or PR diffs in the personal-assistant Obsidian plugin with project-specific risk lanes, second-layer future-risk checks, severity discipline, subagent review routing, and validation boundaries.

When should I use Personal Assistant Review?

Personal Assistant Review fits situations like: the user asks for code review; agent team review; multi-angle review; review-first analysis.

How do I install Personal Assistant Review in Claude Code?

Run `npx skills add edonyzpc/personal-assistant --skill personal-assistant-review -a claude-code`. Or copy the skill folder (.agents/skills/personal-assistant-review in edonyzpc/personal-assistant) into .claude/skills/personal-assistant-review in your project. Claude Code loads it when a task matches its description.

How do I install Personal Assistant Review in Codex?

Run `npx skills add edonyzpc/personal-assistant --skill personal-assistant-review -a codex`. Or copy the skill folder (.agents/skills/personal-assistant-review in edonyzpc/personal-assistant) into .agents/skills/personal-assistant-review in your project. Codex loads it when a task matches its description.

Can I use Personal Assistant 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 edonyzpc/personal-assistant --skill personal-assistant-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/personal-assistant-review, .gemini/skills/personal-assistant-review, .github/skills/personal-assistant-review and .opencode/skills/personal-assistant-review in your project.

What does Personal Assistant Review need to run?

Going by SKILL.md and its folder, Personal Assistant Review needs the command-line tools its instructions call (git, npm and make).

Does Personal Assistant Review access the network?

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

Is Personal Assistant 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. Review the folder before installing.

What licence does Personal Assistant Review use?

Personal Assistant Review is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Personal Assistant Review use?

About 3.2k tokens (SKILL.md is roughly 13k 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 Personal Assistant Review?

Skills that share tags, products or a category with Personal Assistant Review: CCPM Project Management (automazeio/ccpm, 8.4k stars), Review (fossasia/eventyay-interpretation, 1.6k stars), Coherence Auditor (GoogleChrome/modern-web-guidance-src, 1.1k stars) and QA Release (jitpass/jit, 161 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Personal Assistant Review?

edonyzpc (a GitHub user) maintains it in edonyzpc/personal-assistant, which has 147 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on October 10, 2026.

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