CtrlK
BlogDocsLog inGet started
Tessl Logo
SkillPublic

common-review-policy

Define a repository review policy fixing what each review pass checks, how severities rank, which paths are skipped, the nit cap, and who approves. Use when review findings feel inconsistent or noisy, or when tuning an automated reviewer.

68

Quality

86%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide
SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

86%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 well-structured, token-efficient policy standard with concrete, actionable rules and an appropriately placed single reference file. The only notable gap is the absence of inline worked examples or explicit validation checkpoints in the drafting and auditing flow.

DimensionReasoningScore

Conciseness

The body is dense, directive prose with no padding and no explanation of concepts Claude already knows — e.g., "Blocker: merge causes a defect, breach, or data loss. Concrete path required." and "Over the cap, keep the highest-signal nits and drop the rest." Every line adds policy-specific rules, matching the lean and efficient anchor.

5 / 5

Actionability

Concrete, executable guidance throughout: a pass table with checks and out-of-scope columns, severity ladder definitions, skip-list entries to name as globs, an explicit policy file location, and a directive to load the template when drafting or auditing. Minor gaps remain — no worked example values inline (e.g., a sample nit cap number or example globs) — so it stops just short of fully copy-paste-ready at 5.

4 / 5

Workflow Clarity

The sections follow a coherent order (policy file → passes → severities → noise control → tuning → duties) and include an explicit monthly tuning loop ("rate a sample of findings as useful or noise, then adjust cap, skip list, and pass scope") plus a recurring-Blocker feedback route to retro-learn. The drafting/auditing flow lacks an explicit validation checkpoint, so it fits the clear-sequence-with-minor-validation-gaps anchor at 4 rather than the full-checkpoint anchor at 5.

4 / 5

Progressive Disclosure

The body is a lean, well-sectioned overview, and drafting detail is correctly pushed to a single one-level-deep reference (references/review-policy-template.md), which exists and is clearly signaled both in section 1 and the References list. This matches the clear-overview-with-well-signaled-references anchor; the skill is well under the size where more splitting would help.

5 / 5

Total

18

/

20

Passed

Description

83%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 strong description that clearly and explicitly states both what the skill does and when to use it, with natural trigger phrasing. Trigger coverage is good but omits a few common variations, and there is slight overlap risk with skills for performing code reviews.

DimensionReasoningScore

Specificity

"Define a repository review policy fixing what each review pass checks, how severities rank, which paths are skipped, the nit cap, and who approves" names the domain and enumerates the concrete components of the deliverable. It lists several specific aspects with only minor gaps, but is a single defining action rather than multiple distinct concrete actions, so it falls just short of the comprehensive anchor at 5.

4 / 5

Completeness

The description explicitly answers both questions with concrete trigger phrases: the "what" ("Define a repository review policy fixing what each review pass checks, how severities rank, which paths are skipped, the nit cap, and who approves") and the "when" ("Use when review findings feel inconsistent or noisy, or when tuning an automated reviewer"), matching the top anchor exactly.

5 / 5

Trigger Term Quality

Natural phrases users would actually say are present: "review findings feel inconsistent or noisy" and "tuning an automated reviewer". A few natural terms are missing from the description itself (e.g., "code review", "pull request review"), so it matches the good-coverage anchor at 4 rather than comprehensive coverage at 5.

4 / 5

Distinctiveness Conflict Risk

The niche — defining/tuning a review policy rather than performing reviews — is distinct with targeted triggers around inconsistency, noise, and tuning. There is minor overlap risk with general code-review skills since the phrase "review findings" can appear in ordinary review requests, keeping it just below the minimal-conflict anchor at 5.

4 / 5

Total

17

/

20

Passed

Validation

87%

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

Validation — 14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

metadata_field

'metadata' should map string keys to string values

Warning

Total

14

/

16

Passed

Repository

HoangNguyen0403/agent-skills-standard

Path

.agents/skills/common/common-review-policy/SKILL.md

Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.