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snb-worktime-webui

Work on the `snb-worktime-webui` project in the SNB repository: a Go application with an embedded web UI for calculating employee worktime from Windows session snapshots and workstation or network activity windows. Use when adding features, fixing bugs, adjusting parsing rules, changing calculation logic, refining the web UI, updating Windows build flow, or integrating new telemetry sources for this specific project.

72

Quality

89%

Does it follow best practices?

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SecuritybySnyk

Passed

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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, concise body that points cleanly to a real reference file and gives concrete commands and paths. The main weakness is workflow actionability: it lacks worked examples for common edits and an explicit failure-feedback loop around the test/build verification step.

Suggestions

Add a brief feedback loop after the test/build step, e.g. 'If `go test ./...` or the Windows build fails, fix the issue and re-run before finishing,' to lift workflow clarity to 5.

Include one short concrete example for the most common change (e.g., adding a JSONL field alias in internal/parser/jsonl.go) so actionability reaches fully copy-paste-ready guidance.

Optionally note that references/project-map.md is the canonical source for file locations so the repeated inline references can be trimmed to a single clear pointer.

DimensionReasoningScore

Conciseness

Lean ~40-line body that adds only project-specific guidance (paths, commands, rules) and assumes Claude's competence, with no padding or explanation of concepts Claude already knows.

5 / 5

Actionability

Provides concrete executable commands ("go test ./...", the GOOS=windows build line) and specific paths/packages, but offers no worked examples for common changes like adding a parser alias, leaving minor gaps.

4 / 5

Workflow Clarity

A clear five-step sequence ending in an explicit verification checkpoint (run tests + Windows build), but it lacks a failure feedback loop (e.g., if tests fail, fix and re-run), which keeps it below the anchor-5 example.

4 / 5

Progressive Disclosure

SKILL.md is a lean overview that repeatedly and clearly signals a single one-level-deep reference (references/project-map.md, verified to exist with the detailed file map), with detail appropriately split out and easy navigation.

5 / 5

Total

18

/

20

Passed

Description

92%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, project-scoped description that clearly answers both what the skill does and when to invoke it, with concrete and distinctive trigger phrases. The only minor gap is trigger-term breadth — no synonyms or file extensions — which keeps trigger quality at 4 rather than 5.

DimensionReasoningScore

Specificity

Lists multiple concrete project-specific actions — "adjusting parsing rules, changing calculation logic, refining the web UI, updating Windows build flow, or integrating new telemetry sources" — alongside the domain definition, giving comprehensive coverage rather than just 1-2 actions.

5 / 5

Completeness

Explicitly states both what ("a Go application with an embedded web UI for calculating employee worktime from Windows session snapshots...") and when ("Use when adding features, fixing bugs... or integrating new telemetry sources") with concrete trigger phrases.

5 / 5

Trigger Term Quality

Natural task phrases a user would say ("adding features, fixing bugs, refining the web UI") are well covered, but it lacks synonyms and file extensions, stopping short of the comprehensive anchor-5 example.

4 / 5

Distinctiveness Conflict Risk

Tied to a named project and narrow niche (Windows session snapshots + worktime calculation), with triggers scoped to "this specific project," giving a clear niche with minimal conflict risk.

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
igor04091968/SNB
Reviewed

Table of Contents

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