SKILLEMALL.ai

CC bulk-ingestion

End-to-end discipline for turning any large data source (audio libraries, email takeouts, document corpora, chat exports, API dumps) into brain pages at scale. The lifecycle spine: SCHEMA → ACCESS → TRIAL → EVALUATE → IMPROVE → CODIFY → TEST → SKILLIFY → BULK → MONITOR. State is tracked in a durable JSON manifest (see MANIFEST-PATTERN.md) so any crash, session boundary, or subagent fan-out resumes from ground truth instead of memory.

garrytan/gbrain Agent Skills author: garrytan MIT 2 files body ≈ 4 442 tokens Open the sourcegithub.com↗ analyzed 6 d ago

End-to-end discipline for turning any large data source (audio libraries, email takeouts, document corpora, chat exports, API dumps) into brain pages at scale.

As a process C 52/100 · Has gaps — References files that are not bundled: ../conventions/brain-first.md, ../conventions/test-before-bulk.md, ../_brain-filing-rules.md

ProcedureAI and agentsInfrastructureWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
C
52/100
Has gaps
References files that are not bundled: ../conventions/brain-first.md, ../conventions/test-before-bulk.md, ../_brain-filing-rules.md
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
This is a copy of a skill from another catalog; the rating counts the canonical one: bulk-ingestion (garrytan/gbrain)

How to improve

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

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../conventions/brain-first.md
  • warning missing-ref reference to a missing file: ../conventions/test-before-bulk.md
  • warning missing-ref reference to a missing file: ../_brain-filing-rules.md
  • warning missing-ref reference to a missing file: ../conventions/untrusted-content.md
  • warning missing-ref reference to a missing file: ../conventions/quality.md
  • warning missing-ref reference to a missing file: ../brain-ingest-gate/SKILL.md
  • warning missing-ref reference to a missing file: ../conventions/subagent-routing.md
  • warning missing-ref reference to a missing file: ../conventions/cron-via-minions.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"
  • note frontmatter-key unknown frontmatter key "upstream"

Process rating: all ten parameters 52/100

Will not run. References files that are not bundled: ../conventions/brain-first.md, ../conventions/test-before-bulk.md, ../_brain-filing-rules.md
  • 0Tools and files. 9 referenced file(s) missing: ../conventions/brain-first.md, ../conventions/test-before-bulk.md, ../_brain-filing-rules.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 70Execution cost. Instruction body is 4442 tokens
  • 85Steps. 75 steps, 2 vague phrases
  • 100Failures and branches. 1 branches, has a failure section
  • 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 20 top-level sections: this looks like several domains in one skill

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 437: enough signal without eating the budget
  • +4Structure: 26 headings
  • +3Step-by-step instructions: 75 items
  • +3Output format is stated explicitly
  • +4Has examples (5 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.