SKILLEMALL.ai

CD concept-synthesis

Deduplicate and synthesize raw concept stubs into a tiered intellectual map (T1 Canon to T4 Riff), tracing idea evolution across sources over time. Transforms thousands of raw concept pages into a curated intellectual fingerprint. Includes a reversible curation cull pass (Phase 5) with hard keep/delete/merge verdicts, substance gates, grounding labels, cluster budgets, and merge-with-backlinks salience promotion.

garrytan/gbrain Agent Skills author: garrytan MIT 1 file body ≈ 5 302 tokens Open the sourcegithub.com↗ analyzed 6 d ago

Deduplicate and synthesize raw concept stubs into a tiered intellectual map (T1 Canon to T4 Riff), tracing idea evolution across sources over time.

As a process D 47/100 · Unfinished process — References files that are not bundled: ../conventions/quality.md, ../_brain-filing-rules.md, source-url

GeneratorAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
80/100
safety, quality, tests
Safety 60%
100
Quality 40%
50
Run on models
none yet
Process rating
D
47/100
Unfinished process
References files that are not bundled: ../conventions/quality.md, ../_brain-filing-rules.md, source-url
Tools and files w 18
0
Inputs and preconditions w 11
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

The same skill appears in 2 more places: gbrain, gbrain

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  3. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning body-long SKILL.md body ≈ 5302 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: ../conventions/quality.md
  • warning missing-ref reference to a missing file: ../_brain-filing-rules.md
  • warning missing-ref reference to a missing file: source-url
  • warning missing-ref reference to a missing file: sibling-concept.md
  • warning missing-ref reference to a missing file: URL
  • warning missing-ref reference to a missing file: concept-slug.md
  • warning missing-ref reference to a missing file: ../conventions/test-before-bulk.md
  • warning missing-ref reference to a missing file: ../conventions/agent-operator-protocol.md
  • note frontmatter-key unknown frontmatter key "triggers"
  • note frontmatter-key unknown frontmatter key "mutating"
  • note frontmatter-key unknown frontmatter key "writes_pages"
  • note frontmatter-key unknown frontmatter key "writes_to"

Process rating: all ten parameters 47/100

Will not run. References files that are not bundled: ../conventions/quality.md, ../_brain-filing-rules.md, source-url
  • 0Tools and files. 8 referenced file(s) missing: ../conventions/quality.md, ../_brain-filing-rules.md, source-url
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 55Failures and branches. 1 branches
  • 60Result and completion. Output format stated, no completion criterion
  • 70Execution cost. Instruction body is 5302 tokens
  • 85Steps. 65 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 13 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (3 tags): a typed call is more reliable

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +1No license
  • +2Single-language instructions
  • +3Description length 416: enough signal without eating the budget
  • +4Structure: 32 headings
  • +3Step-by-step instructions: 65 items
  • +3Output format is stated explicitly
  • +4Has examples (6 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 50.