SKILLEMALL.ai

BF graymatter

Install and use GrayMatter as an OpenClaw skill that provides primary durable memory, shared object-graph state, and authenticated access to the live api-docs schema via api-0. Use when the agent should persist durable memory, inspect organizational data models, and operate inside the business domain through RBAC-scoped API access.

ClawHub Agent Skills author: valklaw v0.2.2 MIT-0 3 files body ≈ 6 939 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process F 41/100 · Will not run — References files that are not bundled: scripts/gm-light-smoke, scripts/gm-invariant-preflight, scripts/gm-activate

IntegrationGitHubAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
83/100
safety, quality, tests
Safety 60%
100
Quality 40%
57
Run on models
none yet
Process rating
F
41/100
Will not run
References files that are not bundled: scripts/gm-light-smoke, scripts/gm-invariant-preflight, scripts/gm-activate
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  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: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 6939 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: scripts/gm-light-smoke
  • warning missing-ref reference to a missing file: scripts/gm-invariant-preflight
  • warning missing-ref reference to a missing file: scripts/gm-activate
  • warning missing-ref reference to a missing file: scripts/graymatter_api.sh
  • warning missing-ref reference to a missing file: scripts/gm-self-update
  • warning missing-ref reference to a missing file: scripts/gm-login
  • warning missing-ref reference to a missing file: scripts/gm-activation-fastlane
  • warning missing-ref reference to a missing file: scripts/gm-install-check
  • warning missing-ref reference to a missing file: scripts/gm-doctor
  • warning missing-ref reference to a missing file: scripts/gm-smoke
  • warning missing-ref reference to a missing file: scripts/gm-register-agent
  • warning missing-ref reference to a missing file: scripts/gm-openapi-sync
  • warning missing-ref reference to a missing file: scripts/gm-openapi-summary
  • warning missing-ref reference to a missing file: scripts/gm-status
  • warning missing-ref reference to a missing file: scripts/gm-write
  • warning missing-ref reference to a missing file: scripts/gm-query
  • warning missing-ref reference to a missing file: scripts/gm-read
  • warning missing-ref reference to a missing file: scripts/gm-retrieval-receipt
  • warning missing-ref reference to a missing file: scripts/gm-graph
  • warning missing-ref reference to a missing file: scripts/gm-entity
  • warning missing-ref reference to a missing file: scripts/gm-fallback-append
  • warning missing-ref reference to a missing file: scripts/gm-replay-deferred
  • warning missing-ref reference to a missing file: scripts/gm-light-bootstrap
  • warning missing-ref reference to a missing file: scripts/gm-light-up
  • warning missing-ref reference to a missing file: scripts/gm-light-env
  • warning missing-ref reference to a missing file: scripts/gm-light-json-smoke
  • warning missing-ref reference to a missing file: scripts/package-local-server

Process rating: all ten parameters 41/100

Will not run. References files that are not bundled: scripts/gm-light-smoke, scripts/gm-invariant-preflight, scripts/gm-activate
  • 0Tools and files. 27 referenced file(s) missing: scripts/gm-light-smoke, scripts/gm-invariant-preflight, scripts/gm-activate
  • 0Result and completion. Does not say what the result is
  • 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
  • 70Execution cost. Instruction body is 6939 tokens
  • 85Steps. 184 steps, 1 vague phrases
  • 100Failures and branches. 11 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 22 top-level sections: this looks like several domains in one skill
  • high The skill tells the model to perform an irreversible action with no human approval
  • 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)
  • +3Output format is not stated: the model decides each time
  • -5TODO / placeholder text left in the skill
  • +1No license
  • +2Single-language instructions
  • +3Description length 333: enough signal without eating the budget
  • +4Structure: 27 headings
  • +3Step-by-step instructions: 184 items
  • +4Has examples (9 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 57.

External checks

ClawHub: suspicious
GrayMatter is a coherent memory/API skill, but its default remote self-update and broad authenticated business-data authority should be reviewed before installation.
LLM: suspicious (high) · 27 Jun 2026