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gentle-ai-branch-pr

Create Gentle AI pull requests with issue-first checks. Trigger: creating, opening, or preparing PRs for review.

Quality

78%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./skills/branch-pr/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

67%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A dense, well-structured policy skill with strong actionability and a validated workflow, but it pays a real token tax re-explaining Conventional Commits and repeating authorization policy phrasing four times over. The core workflow steps are clear while the surrounding governance prose often is not.

Suggestions

Compress the Conventional Commits section to the regex, the type-to-PR-label mapping, and the breaking-change example — Claude already knows the standard format, and the current section spends ~50 lines on it.

State the authorization/label-mutation policy once (e.g., a short "Label & policy changes" subsection) and reference it elsewhere instead of repeating the "current direct human instruction binding the exact target/action" clause in Critical Rules, the Workflow, the Automated Checks table, and the checklist.

Rewrite the dense jargon sentences ("one bounded mutation and target-host readback", "canonical issue-creation workflow contract") as plain imperative steps in the Workflow section so steps 4-5 are as actionable as steps 1-3.

DimensionReasoningScore

Conciseness

Most content is repo-specific and earns its place (CI check table, PR template schematic, gh/go commands), but the Conventional Commits section re-explains a standard format Claude already knows — regex, an 11-row type table, examples, and prose rules ("All lowercase... no spaces, no uppercase") that restate the regex. The "current direct human instruction binding the exact target/action" policy phrasing also repeats nearly verbatim across Critical Rules, Workflow, the checks table, and the checklist, and "canonical issue-creation workflow contract" is dense jargon. This matches "mostly efficient but could be tightened"; padding is localized rather than pervasive, so it stays above anchor 2.

3 / 5

Actionability

Concrete executable commands are given (`gh issue view <N> --repo ...`, `go test ./...`, `go run ./internal/gofmtcheck`, `cd e2e && ./docker-test.sh`, `gh pr checks`), plus exact branch-name and commit-message regexes and a full PR-body schematic. Placeholders like `<human-selected Closes/Fixes/Resolves #N>` and the withheld PR-creation command are explicitly justified as non-executable by design, leaving only minor gaps versus fully copy-paste-ready guidance.

4 / 5

Workflow Clarity

The 5-step workflow is clearly sequenced with real validation checkpoints: "Mark checkboxes only after observed readback", "Unknown requiredness is not merge-ready", "Fix failing tests before pushing", and the baseline-attribution comparison with "If not compared, report baseline unverified" providing a feedback loop. It falls short of anchor 5 because convoluted policy prose ("one bounded mutation and target-host readback", repeated references to the canonical issue-creation contract) obscures what to concretely do at steps 4 and 5.

4 / 5

Progressive Disclosure

No bundle files exist; the single file is well-sectioned with clear headers (When to Use, Critical Rules, Workflow, Branch Naming, PR Body Format, Automated Checks, Conventional Commits, Commands) and references external repo files (`CONTRIBUTING.md`, `internal/assets/skills/issue-creation/SKILL.md`, `.github/PULL_REQUEST_TEMPLATE.md`) that are explicitly signaled and one level deep. The inline PR-body template and commit-convention tables could arguably be split into reference files, leaving minor organization gaps versus anchor 5.

4 / 5

Total

15

/

20

Passed

Description

78%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A concise, well-formed description with an explicit trigger clause and clear what/when coverage. Its main weakness is thin capability specificity — "issue-first checks" gestures at the validation work without naming what is actually checked.

DimensionReasoningScore

Specificity

The description names the domain ("Gentle AI pull requests") and one concrete action ("Create") plus the vague modifier "issue-first checks", matching the anchor for domain plus 1-2 concrete actions but not comprehensive coverage. It does not enumerate several specific capabilities, so it does not reach anchor 4.

3 / 5

Completeness

It explicitly answers both what ("Create Gentle AI pull requests with issue-first checks") and when ("Trigger: creating, opening, or preparing PRs for review") with concrete trigger phrases, matching the anchor for clear and explicit what AND when.

5 / 5

Trigger Term Quality

"Trigger: creating, opening, or preparing PRs for review" covers natural phrasings users would say (create/open a PR, prepare for review) plus the "PRs" abbreviation. A few natural variants are missing (e.g., "submit a PR", "pull request" spelled out, the repo name), keeping it below comprehensive anchor 5.

4 / 5

Distinctiveness Conflict Risk

"Gentle AI" scopes the skill to a specific repository, making it mostly distinct with only minor overlap risk against generic PR-creation skills, since the trigger line does not name the repository explicitly.

4 / 5

Total

16

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

Gentleman-Programming/gentle-ai

Path

skills/branch-pr/SKILL.md

Reviewed

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