Install
$ agentstack add skill-arasz-ai-badger-review-changes ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Review changes
Rank changed units by blast radius, then check whether the riskiest ones are actually tested. This skill answers "is this safe to merge" — not "does this follow style", which is code-review-checklist's job.
The workflow derives from the skill templates the code-review-graph project auto-installs (MIT, © 2026 Tirth Kanani), rewritten here to be tool-agnostic: every step carries a baseline that needs no graph server.
Steps
- Establish what changed and against which base.
Accelerated: a code-graph change-detection call (e.g. detect_changes-shaped; discover the real tool name from the server's own listing) already carries risk scores. Baseline: git diff ...HEAD --stat plus git log ..HEAD --oneline; if the base is ambiguous, ask, or default to the merge base with the trunk branch.
- Rank changed units by blast radius, not diff size — a 3-line change to a shared auth check
outranks a 200-line change to one leaf component. Accelerated: an impact-radius / affected-flows call (e.g. get_impact_radius-shaped) returns callers, callees, and affected execution paths per unit in one query. Baseline: grep each changed symbol for callers (or the IDE's find-references) and note whether any sits on a critical path — auth, payment, data-write, public API surface.
- Check test coverage for every high-risk unit only — not the whole diff.
Accelerated: a tests-for query (e.g. tests_for-shaped, via a graph-query call). Baseline: search the test tree by the project's own naming convention (.ai-badger/config.json's commands.test names the runner), then run that command and confirm the relevant test would fail if the change were reverted — a test file existing is not coverage.
- Report grouped by risk, high to low. For any high-risk unit with no covering test, name the
specific missing test case (input, expected behavior) — never write "consider adding tests". That sentence is the failure this skill exists to prevent: it reads as review but commits to nothing.
Output format
For each risk tier (high / medium / low): what changed and why it's that tier (the caller/flow that makes it risky, not "it's core"); test status — covered (name the test), partial (name the gap), or untested with the specific missing case; overall recommendation — safe to merge / merge with tracked test debt / block.
Gotchas
No environment-specific gotchas known.
Red flags — STOP
- Ranking by diff size instead of blast radius
- "Consider adding tests" without naming the missing case
- Reporting coverage from a test file's existence without having run it
- Skipping step 1's base — reviewing against the wrong diff is worse than not reviewing
Non-vacuous means every high-risk untested unit is named individually with its missing test case attached — a report that names an untested high-risk item without one has not finished this skill.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Arasz
- Source: Arasz/ai-badger
- License: MIT
- Homepage: https://github.com/Arasz/ai-badger
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.