CtrlK
BlogDocsLog inGet started
Tessl Logo
SkillPublic

judge

Launch a meta-judge then a judge sub-agent to evaluate results produced in the current conversation

Quality

71%

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

Fix and improve this skill with Tessl

tessl review fix ./antigravity/skills/judge/SKILL.md

The canonical home for this skill is judge in NeoLabHQ/context-engineering-kit

SKILL.md
Quality
Evals
Security

Quality

Content

73%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 content presents a clearly sequenced, well-validated two-phase workflow with concrete prompt templates and dispatch specs, yielding strong workflow clarity and actionability. Its main weakness is redundancy: core principles (context isolation, evidence-based scoring, report-only) are restated across multiple sections and could be consolidated.

DimensionReasoningScore

Conciseness

The body is mostly efficient with lean, load-bearing prompt templates, but the same principles are repeated multiple times: context isolation appears in <task>, <context>, Phase 1's IMPORTANT note, and guideline #4; evidence-based citations in <context>, guideline #6, and #9; report-only in <task> and Notes. This repetition goes beyond the 'minor instances' of anchor 4 but is far from the padded concept-teaching of anchor 2.

3 / 5

Actionability

Concrete, copy-paste-ready prompt templates for both sub-agents, exact dispatch specifications (description, prompt, model, subagent_type), an exact Evaluation Scope output template, and a scoring interpretation table provide strong executable guidance. It falls short of 5 because the judge's actual behavior is delegated to undefined external agent instructions ("Follow your full judge process as defined in your agent instructions!") and the re-evaluation step lacks a concrete re-dispatch procedure.

4 / 5

Workflow Clarity

Four clearly ordered phases with explicit sequencing ("Wait for the meta-judge to complete before proceeding"), a five-point validation checklist in Phase 4, contradiction checks, and a defined failure path ("Note the specific issue / Request clarification or re-evaluation if needed"). This matches the anchor for explicit validation steps, feedback loops for error recovery, and checklists.

5 / 5

Progressive Disclosure

The body is well structured with distinct sections for task, context, phases, scoring interpretation, guidelines, and notes, and there are no bundle files to reference (references/, scripts/, assets/ are absent). It falls short of 5 because at ~195 lines with partial duplication between "Important Guidelines" and "Notes", organization could be tightened and the prompt templates could arguably live in separate files.

4 / 5

Total

16

/

20

Passed

Description

53%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 clearly states what the skill does through its distinctive two-phase pattern, but it omits any explicit trigger guidance and lacks natural keyword variations users would actually say when needing this skill. It is serviceable but would benefit most from a 'Use when...' clause.

Suggestions

Add an explicit trigger clause, e.g. "Use when the user asks to evaluate, review, grade, or assess work produced earlier in this conversation."

Include natural synonyms users would say ("review", "assess", "grade", "check quality") alongside "evaluate" to improve trigger term coverage.

Briefly name the kinds of results it evaluates (e.g. code changes, analysis, documentation) to sharpen the 'what' and reduce overlap with generic review skills.

DimensionReasoningScore

Specificity

The description names two concrete actions ("Launch a meta-judge then a judge sub-agent") plus a purpose ("evaluate results produced in the current conversation"), matching the anchor 'Names domain and 1-2 concrete actions, but not comprehensive'. It falls short of 4 because it does not enumerate several specific actions or the kinds of results evaluated.

3 / 5

Completeness

The 'what' is clear (launch a meta-judge then a judge sub-agent to evaluate conversation results), but there is no 'Use when...' clause or equivalent trigger guidance, which caps completeness at 3 per the judging guidelines. The 'when' is entirely absent rather than weakly implied.

3 / 5

Trigger Term Quality

Relevant keywords like "evaluate", "results", and "judge" are present, but common natural variations users would say ("review", "assess", "grade", "check the quality of") are missing. It is above 2 because the keywords that do appear name the actual purpose rather than being purely generic.

3 / 5

Distinctiveness Conflict Risk

The two-phase meta-judge/judge sub-agent pattern is distinctive to this skill, but the general framing "evaluate results produced in the current conversation" carries minor overlap risk with generic review or code-review skills. It is more distinctive than anchor 3's generic-domain phrasing but lacks the bulletproof trigger separation of anchor 5.

4 / 5

Total

13

/

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

NeoLabHQ/context-engineering-kit

Path

antigravity/skills/judge/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.