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CD two-tier-extraction

Tiered LLM extraction pattern for large corpus processing (email archives, document dumps, transcript libraries). A utility-tier model triages and classifies at speed; the reasoning tier does the default deep read; the deep tier is the escalation for the highest-value content. Prevents spending deep-tier money on noise while ensuring the important content gets the best eyes. A deterministic privacy wall runs before any LLM call.

garrytan/gbrain Agent Skills author: garrytan MIT 1 file body ≈ 4 179 tokens Open the sourcegithub.com↗ analyzed 6 d ago

Tiered LLM extraction pattern for large corpus processing (email archives, document dumps, transcript libraries).

As a process D 45/100 · Unfinished process — References files that are not bundled: ../conventions/brain-first.md, ../conventions/model-routing.md, ../conventions/test-before-bulk.md

ProcedureAI and agentstype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
C
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
60
Run on models
none yet
Process rating
D
45/100
Unfinished process
References files that are not bundled: ../conventions/brain-first.md, ../conventions/model-routing.md, ../conventions/test-before-bulk.md
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: two-tier-extraction (garrytan/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 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 missing-ref reference to a missing file: ../conventions/brain-first.md
  • warning missing-ref reference to a missing file: ../conventions/model-routing.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/regex-discipline.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 45/100

Will not run. References files that are not bundled: ../conventions/brain-first.md, ../conventions/model-routing.md, ../conventions/test-before-bulk.md
  • 0Tools and files. 7 referenced file(s) missing: ../conventions/brain-first.md, ../conventions/model-routing.md, ../conventions/test-before-bulk.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 5 mutating operations with no state check
  • 55Failures and branches. 1 branches
  • 60Result and completion. Output format stated, no completion criterion
  • 70Execution cost. Instruction body is 4179 tokens
  • 100Steps. 60 steps
  • 100Consistency. Name and required fields are in place
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 16 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 432: enough signal without eating the budget
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 60 items
  • +3Output format is stated explicitly
  • +4Has examples (6 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.