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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 ValkyrAI 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: John McMahon v0.2.0 MIT-0 56 files · 23 scripts body ≈ 3 344 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Install and use GrayMatter as an OpenClaw skill that provides primary durable memory, shared object-graph state, and authenticated access to the live ValkyrAI…

As a process F 43/100 · Will not run — References files that are not bundled: scripts/gm-activate, scripts/gm-login, scripts/gm-install-check

IntegrationAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw 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) Goose OpenCode
JSON
Technical rating
B
80/100
safety, quality, tests
Safety 60%
94
Quality 40%
60
Run on models
none yet
Process rating
F
43/100
Will not run
References files that are not bundled: scripts/gm-activate, scripts/gm-login, scripts/gm-install-check
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

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 · 2

✓ No critical or high findings

Medium and low: 2
  • medium Exfiltration net-redirectable-api-key mcp-server/index.js:185
    Helper sends the API key to a host configured by an environment variable — the key can be redirected to another server
    API key + configurable base URL from environment
  • low Exfiltration net-credential-use scripts/graymatter_api.sh:22
    Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)
    BUY_CREDITS_URL="${VALKYR_BUY_CREDITS_URL:-https://valkyrlabs.com/graymatter/credits?source=…&intent=…&operation=…"
    quoted

Files scanned: 34. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/gm-activate
  • warning missing-ref reference to a missing file: scripts/gm-login
  • warning missing-ref reference to a missing file: scripts/gm-install-check
  • 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-write
  • warning missing-ref reference to a missing file: scripts/gm-query
  • 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-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 43/100

Will not run. References files that are not bundled: scripts/gm-activate, scripts/gm-login, scripts/gm-install-check
  • 0Tools and files. 16 referenced file(s) missing: scripts/gm-activate, scripts/gm-login, scripts/gm-install-check
  • 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
  • 85Steps. 150 steps, 1 vague phrases
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3344 tokens
  • 100Running it twice. Mutating operations check current state
  • low 16 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)
  • +3Output format is not stated: the model decides each time
  • -5TODO / placeholder text left in the skill
  • -411 reference files, but SKILL.md never points to them: the model will not open them
  • -32 of 3 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 333: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 150 items
  • +4Has examples (6 code blocks)

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

External checks

ClawHub: suspicious
GrayMatter is a disclosed business-memory integration, but it gives an agent broad authenticated access to live organizational data with automatic credential reuse and limited scoping controls.
LLM: suspicious (high) · VirusTotal: · 28 May 2026