CtrlK
BlogDocsLog inGet started
Tessl Logo

gentle-ai-bench

Trigger: bench, journey, journeys, driven mode, gentle-ai-bench, journey corpus, j-numbers, bench axis. Author and verify gentle-ai bench journeys; go test ./bench never proves driven execution.

73

Quality

90%

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.

The body is a tight, well-structured contract: dense hard rules with concrete commands and fail-loudly guards, a sequenced execution workflow with validation, and clean sectioning. The only soft spot is the absence of an explicit validate-fix-retry loop, which keeps workflow clarity at 4.

DimensionReasoningScore

Conciseness

The body is lean and dense — Hard Rules each state a precise constraint with zero concept-explanation padding (no 'what a journey is' filler), and every line carries a specific guard or command, matching the 'lean, every token earns its place' anchor rather than the 4-anchor which still tolerates minor trimmable explanation.

5 / 5

Actionability

Concrete, copy-able commands appear throughout (`go test ./bench`, `gentle-ai-bench run --binary ...`, `--only <journey-id>`, `.github/workflows/ci.yml`), with named guards (collision, dead-execute) — mostly executable guidance, but `--binary ...` is a template and the exact build command is deferred to 'copy CI', the minor gaps that keep it off the fully-copy-paste 5-anchor.

4 / 5

Workflow Clarity

Execution Steps give a clear 4-step sequence with a validation checkpoint (run `go test ./...` for declarations THEN the driven harness; both results in the PR body) plus named fail-loudly guards, fitting the 'clear sequence with most checkpoints' anchor; it stays at 4 rather than 5 because the error-recovery feedback loop is only implicit, not an explicit validate-fix-retry cycle.

4 / 5

Progressive Disclosure

No bundle files exist and the body is well under 50 lines with clean, single-level section headers (Activation Contract, Hard Rules, Execution Steps, Output Contract) and no nested references, so the simple-skill exception applies and structure is unambiguous, matching the top anchor.

5 / 5

Total

18

/

20

Passed

Description

95%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.

The description is strong: explicit trigger clause, clear what/when pairing, concrete actions, and a sharply distinctive niche vocabulary. It is concise and free of fluff, with only minor specificity gaps in enumerating every action.

DimensionReasoningScore

Specificity

Names the domain and concrete actions — 'Author and verify gentle-ai bench journeys' and the driven-execution proof (build harness + product binary, run harness) — with only minor coverage gaps, fitting the 'lists several specific actions' anchor rather than the narrower 3-anchor (only 1-2 actions) and short of the fully comprehensive 5-anchor.

4 / 5

Completeness

It explicitly answers both: what ('Author and verify gentle-ai bench journeys; go test ./bench never proves driven execution') and when (the 'Trigger:' clause with concrete trigger phrases), matching the top anchor exactly rather than the 4-anchor whose 'when' is only loosely tied.

5 / 5

Trigger Term Quality

The explicit 'Trigger: bench, journey, journeys, driven mode, gentle-ai-bench, journey corpus, j-numbers, bench axis' gives comprehensive coverage including the singular/plural synonym pair (journey/journeys) and the domain's natural shorthand, matching the comprehensive-synonyms anchor; nothing above this anchor exists.

5 / 5

Distinctiveness Conflict Risk

The highly niche vocabulary (gentle-ai-bench, j-numbers, journey corpus, bench axis) carves a clear niche with distinct triggers and minimal conflict risk, matching the top anchor; it is far more specific than the 'mostly distinct' 4-anchor.

5 / 5

Total

19

/

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
Gentleman-Programming/gentle-ai
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.