CtrlK
BlogDocsLog inGet started
Tessl Logo

local-log-debug

Inspect and analyze uniclipboard's local JSONL logs on a SINGLE machine — query, filter, and time-merge the per-role (gui/daemon/cli) log files to answer "what just happened" or trace a symptom (pairing, sync, transfer, clipboard capture, daemon lifecycle) back through the logs. Use when the user asks to "check the logs", "why did X fail", "what did the daemon do", or describes a bug to diagnose from logs on this one host. NOT for cross-device peer debugging (use dual-side-debug) and NOT for writing/reviewing tracing code (use tracing-best-practices).

76

Quality

94%

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

88%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, actionable log-debugging skill: executable commands, a jq cookbook, and a validated workflow with a freshness checkpoint. It is dense with domain specifics Claude lacks, with only minor tangential sections.

Suggestions

Consider moving the subsystem target/span cheat-sheet table into a references/ file and linking it, to shorten SKILL.md and model one-level-deep progressive disclosure.

Trim the "Verbosity is controlled elsewhere" and "Relationship to export-logs" sections to one line each, since they describe out-of-skill behavior.

DimensionReasoningScore

Conciseness

Mostly lean and domain-specific (log paths, role names, real target strings) that Claude would not already know, but a couple of sections ("Verbosity is controlled elsewhere", "Relationship to export-logs") are tangential and could be trimmed slightly.

4 / 5

Actionability

Copy-paste-ready script commands (status, paths, tail, grep, query --filter, merge) plus a jq cookbook with concrete filters and a compact projection pipeline, covering the common cases fully.

5 / 5

Workflow Clarity

The "Recommended workflow" gives a clear five-step sequence with an explicit validation checkpoint ("Always run status first", per-role freshness) and a feedback loop ("stop and confirm the profile... Don't silently analyze stale logs").

5 / 5

Progressive Disclosure

Well-organized single-file SKILL.md with clear section headers, tables, and code blocks; no nested references. No bundle files exist, and content is cohesive, though the subsystem cheat-sheet / jq cookbook could optionally live in a reference file.

4 / 5

Total

18

/

20

Passed

Description

100%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, third-person description that concretely states capabilities, surfaces natural trigger phrases, and explicitly fences off adjacent skills. It answers both what and when without padding.

DimensionReasoningScore

Specificity

Names the domain (uniclipboard local JSONL logs) and lists multiple concrete actions — "query, filter, and time-merge the per-role (gui/daemon/cli) log files" — plus concrete symptom categories (pairing, sync, transfer, clipboard capture, daemon lifecycle).

5 / 5

Completeness

Explicitly answers both what (inspect/analyze/query/filter/time-merge per-role JSONL logs on one host) and when ("Use when the user asks to..."), with concrete trigger phrases and explicit scope exclusions.

5 / 5

Trigger Term Quality

Quotes natural trigger phrases users would actually say: "check the logs", "why did X fail", "what did the daemon do", plus "describes a bug to diagnose from logs", giving comprehensive synonym/variation coverage.

5 / 5

Distinctiveness Conflict Risk

Clear niche (single-machine local logs) with explicit disambiguation: "NOT for cross-device peer debugging (use dual-side-debug)" and "NOT for writing/reviewing tracing code (use tracing-best-practices)", minimizing wrong-skill triggering.

5 / 5

Total

20

/

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
UniClipboard/UniClipboard
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.