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query

Answer questions using the brain's knowledge with 3-layer search, synthesis, and citation propagation. Use when the user asks a question, wants a lookup, or needs information from the brain.

Quality

72%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./plugin-variants/gbrain-coding/skills/query/SKILL.md

The canonical home for this skill is query in garrytan/gbrain

SKILL.md
Quality
Evals
Security

Quality

Content

70%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 exceptionally actionable with copy-paste-ready gbrain commands and a strong failure-handling loop, but it pays for that with noticeable redundancy and inlined protocol detail that inflate token cost. Consolidating the duplicated rule sections and moving token-budget protocol minutiae into a referenced file would materially improve efficiency.

Suggestions

Merge the overlapping Contract / Anti-Patterns / Output Format / Quality Rules / Citation in Answers sections into one 'Rules & output format' section — citation, source-precedence, and no-hallucination rules are each stated 3-4 times.

Move the Token-Budget Awareness protocol minutiae (cost formulas, fractional-budget compatibility, adoption verification) into the referenced protocol doc (docs/protocol/MEMORY_VERBS_v1.md) and keep only the decision guidance and one example inline.

Collect scattered version-sensitive details ("gbrain ≥ 0.43", "v0.10.1+", "pre-0.43 servers") into a single compatibility note so they don't read as time-sensitive instructions.

DimensionReasoningScore

Conciseness

Noticeably verbose: citation rules appear in four sections (Contract, Output Format, Quality Rules, Citation in Answers), source precedence in three, and "never hallucinate" in four; the ~55-line Token-Budget Awareness section inlines protocol minutiae (cost formulas, fractional-budget compatibility, adoption verification) that belongs in the referenced protocol doc. Not 3 because the duplication and inlined protocol detail go beyond 'some unnecessary explanation'; not 1 because most content is genuinely non-obvious operational guidance rather than concepts Claude already knows.

2 / 5

Actionability

Fully executable, copy-paste-ready commands with realistic arguments cover the common cases: `gbrain query "<q>" --since 2026-09-01 --until 2026-09-30`, `gbrain graph-query companies/acme --type works_at --direction in`, `gbrain recall --query 'zebra telescope' --budget-tokens 75 --budget-policy query_first --json`, and `--return-unit page --token-budget 6000`, plus a complete MCP JSON request example.

5 / 5

Workflow Clarity

Five clearly sequenced phases with explicit validation and error-recovery feedback loops: step 5 mandates reading notices before answering, and 'When it fails' prescribes concrete retries (try display name/synonyms/hybrid before declaring a gap; page or narrow before claiming absence; search by title before reporting a page missing). Matches the anchor for clear sequence with explicit validation steps and feedback loops.

5 / 5

Progressive Disclosure

Section headers are clear, but the skill ships no bundle files while referencing external docs (docs/protocol/MEMORY_VERBS_v1.md, ../conventions/agent-operator-protocol.md, skills/conventions/brain-first.md) and inlining the token-budget protocol detail inline instead of splitting it out. Not 4 because inlining ~55 lines of protocol-level content is more than a minor organization gap; not 2 because the 13-section structure is real and references are clearly signaled.

3 / 5

Total

15

/

20

Passed

Description

63%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 cleanly states what the skill does and includes an explicit 'Use when' clause, but its trigger phrasing is generic. Folding a few of the concrete trigger phrases from the triggers list (e.g., "tell me about", "who is") into the description would sharpen both completeness and distinctiveness.

Suggestions

Fold concrete trigger phrases from the triggers list (e.g., "tell me about", "who is", "what happened") into the description's 'Use when' clause so it reads like the 5-anchor example with concrete trigger phrases.

Narrow the when-clause to brain-specific contexts (e.g., "Use when the user asks about people, companies, meetings, or events recorded in the brain") to reduce conflict with general search/research skills.

Briefly unpack "3-layer search" (e.g., keyword, semantic, graph) so the capability claim is concrete rather than jargon.

DimensionReasoningScore

Specificity

Lists several concrete actions — "3-layer search, synthesis, and citation propagation" — grounded in a specific domain ("the brain's knowledge"). Not a 5 because the actions are terse and unexplained (the three layers are never named), leaving minor gaps in coverage.

4 / 5

Completeness

Explicitly answers both what ("Answer questions using the brain's knowledge with 3-layer search, synthesis, and citation propagation") and when ("Use when the user asks a question, wants a lookup, or needs information from the brain"). Not 5 because the when-clause triggers are broad abstractions rather than concrete trigger phrases users would say.

4 / 5

Trigger Term Quality

"asks a question", "wants a lookup", "needs information" are natural phrases but generic, and common variations (e.g., "tell me about", "who is", "search for" — which exist only in the separate triggers field, not the description) are missing. Not 4 because the coverage of natural terms is thin, not just missing 'a few'.

3 / 5

Distinctiveness Conflict Risk

The what-clause carves a niche (brain knowledge, citations), but "Use when the user asks a question... or needs information" would match virtually any question or information request, creating real overlap risk with general search/research skills. Not 4 because the trigger scope is broad rather than a minor overlap with closely related skills.

3 / 5

Total

14

/

20

Passed

Validation

87%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

relative_links

Relative link issues: 1 suspicious

Warning

Total

14

/

16

Passed

Repository

garrytan/gbrain

Path

plugin-variants/gbrain-coding/skills/query/SKILL.md

Reviewed

Table of Contents

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