Automated summary
Reviews docs and blog post quality — style, accuracy, Pulumi best practices — on open files, uncommitted changes, the current branch, or a given PR, printing results to the conversation.
Strengths
- Auto-detects review scope in priority order: open IDE files, then modified/untracked files, then the branch diff against master with a merge-base fallback when --fork-point fails.
- Routes each file to a domain via domain-routing and combines that domain's criteria with shared-criteria before rendering through output-format.
- Runs Vale on content/docs and content/blog, normalizes findings through a categorize filter so bullets show a category instead of a raw rule name, and degrades gracefully with a one-line note when Vale is missing.
- Read-only toward GitHub: output stays in the conversation and PRs are inspected only with gh pr view / gh pr diff.
- Ships outcome telemetry (scrape-review-outcomes.py plus a weekly digest) to tune which verdict categories get promoted or demoted over time.
Limitations
- Assumes repo-local reference files and scripts exist: domain-routing, shared-criteria, output-format, and vale-findings-filter.py under .claude/commands/docs-review/.
- Scope detection leans on Claude Code conversation context (open-file reminders, gitStatus block) plus locally available git, gh, and Vale.
- The accuracy checks encode Pulumi-specific best practices, so the skill needs rework before use on another product's docs.
Use it right before committing documentation or blog edits, or when you want a fast quality pass on a Pulumi PR.
Don't use it for reviewing application code, for auto-posting review comments to GitHub, or in a repo missing the skill's reference files and scripts.
Security analysis
CautionThe skill executes read-only developer tools (git, gh, vale, python) to review local and PR docs. No destructive or exfiltrating behavior is present, and it explicitly avoids posting to GitHub, but shell/network tool use warrants a caution rating.
- •Uses shell commands (`gh pr view/diff`, `git diff`, `vale`, `python3`) without declaring allowed-tools, so execution depends on agent permissions.
- •Reads PR data from GitHub via `gh`, but only performs read-only operations and explicitly states it never posts to GitHub.
- •Writes temporary files to /tmp for Vale output, which is low risk but still involves filesystem writes.
Examples
/docs-review/docs-review 4821I just finished editing a couple of docs pages on this branch — run docs-review on the branch changes before I commit.name: docs-review description: Review docs and blog post quality before committing (style, accuracy, Pulumi best practices). Use when you've made content changes locally and want a quality pass on open files, the current branch, or a specific PR — outputs to the conversation, never posts to GitHub. user-invocable: true
Docs Review (interactive)
Output goes into the conversation. This skill never posts to GitHub.
Usage
/docs-review [PR_NUMBER]
If PR_NUMBER is provided, review the PR via gh pr view / gh pr diff. If omitted, auto-detect scope from the current IDE/terminal context.
Scope detection (when no PR number is provided)
Walk these steps in order; stop at the first that yields a scope.
-
Open files in the IDE. Check the conversation context for system reminders that list open files. If any are present, treat those files as the scope.
-
Uncommitted changes. Check the gitStatus block (or run
git status) for modified (M) and untracked (??) files. Usegit diffand read the affected files. -
Branch changes vs. master:
git diff $(git merge-base --fork-point master HEAD)...HEADIf
--fork-pointfails (no reflog), fall back togit diff $(git merge-base master HEAD)...HEAD. Review every changed file in the branch.
Performing the review
Route each file to a domain via docs-review:references:domain-routing, then apply that domain's criteria plus docs-review:references:shared-criteria. Render the output per docs-review:references:output-format.
For files under content/docs/ or content/blog/, also run Vale and surface its findings under ⚠️ Low-confidence per the Style-findings render contract in docs-review:references:output-format (the **line N:** _category_ — <message> bullet form, grouped under a #### Style findings H4). Pipe through the categorize filter so the JSON has a deterministic category field — never surface the raw rule name:
vale --no-exit --output=JSON <files> > /tmp/vale-raw.json
python3 .claude/commands/docs-review/scripts/vale-findings-filter.py \
--in /tmp/vale-raw.json --out /tmp/vale-findings.json
# Render bullets from /tmp/vale-findings.json: use .category, not .rule.
Omit --pr in interactive mode (no diff to intersect; the filter accepts all findings, categorizes, caps). If vale --version fails or vale is not on PATH, skip the Vale step with a one-line note (e.g., "Skipping Vale: not installed. Install via mise install to enable style nits.") and continue the review without Vale findings — don't hard-fail.
For PR-number invocations:
gh pr view {{arg}} --json title,body,files,additions,deletions,labels
gh pr diff {{arg}}
Format for terminal display. Include the scope in the summary, and offer to broaden if useful.
Outcome telemetry (quarterly review)
Every closed PR's pinned review encodes what happened to its findings (✅ Resolved = fixed, concede: = conceded, 🛡️ Disputed … model held = disputed, still-🚨-at-merge = ignored). scripts/scrape-review-outcomes.py derives per-finding outcomes from that structure; the weekly digest (scripts/weekly-digest/digest.py) aggregates the trailing week automatically. Quarterly, run the long-window tuning report:
uv run .claude/commands/docs-review/scripts/scrape-review-outcomes.py \
--closed-since <quarter-start> --stats
What to do with the numbers: verdict categories with high concede or ignored-at-merge rates are candidates for demoting from the always-🚨 carve-out list (or pruning entirely — edit docs-review:references:output-format §Bucket rules in a PR); recurring prose findings with high fix rates are candidates for promotion into Vale rules so they're caught pre-review. High unconfirmed_at_merge counts mean reviews are routinely stale at merge — evidence for auto-refreshing on trivial deltas. Telemetry informs the tuning; humans make the edits.
From the file to a first result
The download contains exactly the content displayed on this page. This copy may differ from the latest version in the source repository.
View the source and supporting filesThis download contains SKILL.md only. Any scripts, references, templates and dependencies are not included. Get the required files from the source, preserving their directory structure, before continuing.
1. Download the file
Download SKILL.mdFrom the root of a test project, save the file as .skill-downloads/interactive-docs-review-ms47vqf4/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.
Command for macOS/Linux or WSL: requires a POSIX shell and curl. On Windows without WSL, use the download button and create the folder manually.
mkdir -p '.skill-downloads/interactive-docs-review-ms47vqf4' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/interactive-docs-review-ms47vqf4/download' --output '.skill-downloads/interactive-docs-review-ms47vqf4/SKILL.md.part' && mv '.skill-downloads/interactive-docs-review-ms47vqf4/SKILL.md.part' '.skill-downloads/interactive-docs-review-ms47vqf4/SKILL.md'2. Check prerequisites
Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.
No recognized prerequisites section in this file. This does not mean it is self-contained: libraries, tools and access requirements may be mentioned elsewhere in the content or source repository.
The platforms on this page are catalog indications. The paths below follow tool documentation; they do not prove this skill has been run in those tools. No minimum tool version is confirmed for this listing.
3. Load the skill
After inspection, copy the complete folder into your project using one of the commands below, then open a new tool session. The command stops if a folder with the same name already exists: compare the files before replacing it.
Claude Code
test -f '.skill-downloads/interactive-docs-review-ms47vqf4/SKILL.md' && test -s '.skill-downloads/interactive-docs-review-ms47vqf4/SKILL.md' && mkdir -p '.claude/skills' && test ! -e '.claude/skills/docs-review' && cp -R '.skill-downloads/interactive-docs-review-ms47vqf4' '.claude/skills/docs-review'OpenSkills
OpenSkills must already be installed. The local install/read procedure is checked with OpenSkills 1.5.0, which requires Node.js ≥ 20.6.0. Catalog slugs are not resolved automatically.
Official OpenSkills installationopenskills install './.skill-downloads/interactive-docs-review-ms47vqf4'openskills read 'interactive-docs-review-ms47vqf4'Reading should display the installed file content and its base directory. It does not run the skill or install its dependencies.
For an agent that reads AGENTS.md, then sync the index. This command changes AGENTS.md: review the diff before using it.
openskills syncManual method or another tool: attach SKILL.md to a conversation, or open it in an agent that can read files. Include any required supporting resources. No universal folder is recognized by every tool.
4. Try a first task
Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:
Read .skill-downloads/interactive-docs-review-ms47vqf4/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.Expected result: output matching the skill instructions, or a precise list of missing prerequisites. A read confirmation alone does not validate a first use. If an external resource is unavailable, that path remains untested.
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