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clarification-broker

Compress planner candidate questions into a compact frontdesk-facing clarification batch and normalize answers back to planner.

55

Quality

61%

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SecuritybySnyk

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tessl review fix ./docs/plantree/plans/agentic-loop-workflow/drafts/agentroles.ccb_clarification_broker/skills/clarification-broker/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

72%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.

An exceptionally lean, well-organized body for a simple skill — no token waste and a clear Inputs/Outputs/Rules structure. The weakness is that the guidance stays at the directive level: without an example batch format or a stated step order with verification, Claude must guess what the output should look like and how to check it.

Suggestions

Add a short example of the output artifacts: one sample question batch (with defaults applied and deferred questions marked) and one sample normalized answer, so the output format is unambiguous.

State the process as an ordered sequence (gather candidate questions -> filter/merge -> apply defaults -> emit batch -> on user reply, normalize answers) instead of leaving the order implicit in section layout.

Include a quick validation check, e.g. 'before emitting, confirm every remaining question is neither already answerable from decisions nor a later-phase question.'

DimensionReasoningScore

Conciseness

The body is ~29 lean lines with zero padding: it assumes Claude's competence and every line (Inputs, Outputs, Rules) earns its place. Nothing explains concepts Claude already knows, matching the 'lean and efficient' anchor exactly.

5 / 5

Actionability

Rules like "Remove duplicates and already-answerable questions" and "Defer later-phase questions instead of overloading frontdesk" are concrete directives, but there is no example of what a question batch or a normalized answer looks like, and the answer-normalization format is unspecified. This is incomplete concrete guidance rather than mostly-executable guidance, so it sits at 3 rather than 4.

3 / 5

Workflow Clarity

The sequence (inputs -> batch -> outputs -> normalize answers when a response arrives) is implied by section order but never stated as an ordered process, and there are no validation checkpoints (e.g., how to verify the batch is not already answerable). The batched-batch operation without a verification step caps this at 3; it is not a 2 because the Inputs/Outputs/Rules structure does convey a rough, coherent flow.

3 / 5

Progressive Disclosure

This is a simple, single-purpose skill under 50 lines with no external reference files needed (and none bundled in references/, scripts/, or assets/); the well-organized section headers satisfy the simple-skill exception for a top score. All navigation is on one level with no buried or nested references.

5 / 5

Total

16

/

20

Passed

Description

51%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 with two concrete, domain-specific actions, but it completely lacks trigger guidance ('when to use') and relies on internal jargon rather than natural user vocabulary. Adding a 'Use when...' clause with natural phrasing would lift both completeness and trigger-term quality.

Suggestions

Add an explicit trigger clause, e.g. 'Use when the planner produces candidate clarification questions that need to be batched for the frontdesk, or when user answers need normalizing back to the planner.'

Include natural user-facing trigger terms and synonyms ('clarifying questions', 'follow-up questions', 'ask user questions', 'batch questions') alongside the internal role names.

Briefly surface the dedupe/defer behaviors in the description so the capability list is more comprehensive.

DimensionReasoningScore

Specificity

"Compress planner candidate questions into a compact frontdesk-facing clarification batch" and "normalize answers back to planner" name several concrete, specific actions within the domain. Falls just short of the 5 anchor because supporting actions (deduplication, deferral) are only covered in the body, leaving minor gaps in coverage from the description alone.

4 / 5

Completeness

The 'what' is clearly stated (compress questions into a batch, normalize answers back), but there is no 'Use when...' clause or equivalent explicit trigger guidance, which caps completeness at 3 per the judging guidelines. Not a 2 because the 'what' half is concrete and complete rather than vague.

3 / 5

Trigger Term Quality

The only candidate keywords are domain-internal jargon ("planner", "frontdesk", "clarification batch") rather than natural phrases a user would say; common variations like "ask clarifying questions" or "follow-up questions" are missing. This sits noticeably below the midpoint — it is more internal vocabulary than the 'some relevant keywords' of the 3 anchor.

2 / 5

Distinctiveness Conflict Risk

The planner-to-frontdesk clarification-brokering niche is quite specific and unlikely to trigger for the wrong skill, satisfying 'mostly distinct; minor overlap risk'. Not a 5 because without explicit triggers its distinctness rests on jargon terms that overlap generic question-handling skills.

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
SeemSeam/claude_codex_bridge
Reviewed

Table of Contents

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