What does this skill do, and when should you use it?
This is a minimal Agent Skill designed to briefly explain small code diffs. It takes a diff as input and outputs a short natural language explanation of the changes. The skill is intentionally simple, emphasizing brevity. It is part of the Cognee repository as a demo for feedback loops. It follows the standard Agent Skills format and is easy to integrate.
Accepts a code diff as input and generates a concise text explanation of the changes. It does not execute tests, call external APIs, or access the filesystem. Its only function is to produce a natural language summary from the given diff.
- A developer reviewing a pull request wants a quick summary of a small change.
- A developer browsing Git history wants to understand what a commit changed.
- A developer debugging wants to grasp the impact of a local modification.
How do you install this skill?
- The skill description is extremely brief, with only declarative text and no executable instructions; actual usage requires supplementing implementation logic.
- No declaration of suitability for Chinese-language environments or reachability from mainland China; if it depends on overseas LLM services, it may be inaccessible.
- Lack of tests, examples, and error handling descriptions; reliability is hard to guarantee.
Clone the GitHub repository, then copy the folder 'examples/demos/skill_feedback_loop/skills/diff-risk-explainer' into your Agent Skills directory. Detailed installation steps are not documented.
tmp="$(mktemp -d)"
git clone --depth 1 https://github.com/topoteretes/cognee.git "$tmp"
mkdir -p ~/.claude/skills
cp -R "$tmp/examples/demos/skill_feedback_loop/skills/diff-risk-explainer" ~/.claude/skills/
rm -rf "$tmp"Generated from the source repository and skill path; it copies only this skill's folder. If the author's install steps above differ, follow those first. To scope it to one project, replace ~/.claude/skills with that project's .claude/skills.
How do you use this skill?
Once installed, send your agent any of these to trigger it:
- Explain this diff
Present a code diff to the Agent and ask 'Explain this diff'.
What are this skill's strengths and limitations?
- Simple and straightforward.
- Good for quick understanding of small changes.
- No extra tools or services required.
- Too simple for complex analyses.
- Lacks detailed installation instructions.
- No mention of supported platforms or languages, may have compatibility issues.
How does this skill compare with similar options?
Side by side with related skills; every score comes from the same FSRS standard.
| Skill | FS score | Stars | Last updated | License |
|---|---|---|---|---|
| Diff Risk Explainer this page | 14 · Not recommended | ★ 32k | 3d ago | Apache-2.0 |
| Review Agent Code Review Skill ✓ OpenAI · Official | 52 · Use with care | ★ 128k | 3d ago | Apache-2.0 |
| Open Code Review Skill | 58 · Recommended | ★ 45k | 3d ago | Apache-2.0 |
| Open Code Review Delegated Review | 58 · Recommended | ★ 45k | 3d ago | Apache-2.0 |
| Session Code Review ✓ Microsoft · Official | 51 · Use with care | ★ 193k | 3d ago | MIT |
How did FollowSkills review this skill?
Evidence: The skill description only claims to briefly explain small code diffs; it does not involve permissions, data flow, sensitive data handling, or external effects. Although the repository is a full project, the skill itself has no additional permission requirements; its operation is limited to explaining diffs, with no overreach or hidden behavior. Deductions: The skill provides no user confirmation mechanism, data-flow transparency, or rollback options, and source attribution is not specified; however, no red-line risks are found, hence a basic score.
Evidence: The skill file contains only a two-line descriptive text, with no concrete instructions or scripts; its runnability cannot be verified. Dependencies are not listed, key paths cannot be reproduced, and abnormal input handling is unspecified. Deductions: Lack of executable instructions, insufficient stability and failure feedback.
Evidence: The skill's scope is clear (explain small code diffs) and the audience is developers, but it does not declare capability boundaries or non-fit scenarios; trigger conditions rely solely on the description. Chinese-language support is not mentioned, and the project may depend on overseas services; environment fit is unverified. Deductions: Boundaries and trigger conditions are unclear, and evidence for environment fit is insufficient.
Evidence: The skill has a brief description and name, but no installation instructions, examples, FAQ, known limitations, versioning, or maintenance responsibility. The repository has an Apache-2.0 license, but the skill itself does not specify license attribution. Deductions: Incomplete information architecture, missing key documentation and governance.
Evidence: The skill claims to explain diffs but provides no concrete output format or verified examples; result correctness and completeness cannot be assessed. Manually explaining a diff may be more direct; marginal value is unproven. Deductions: Unclear value proposition, output not verifiable.
Evidence: The skill file contains no tests or verifiable execution evidence; the repository has CI and tests but they do not cover this skill. Deductions: No third-party execution evidence; static reading cannot verify conclusions.
Open a dimension to read why it scored that way
Evidence confidence：Low — Mostly static review, author material or a limited demo; useful for discovery, not high-risk decisions.
See the full review method →