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BC PersonalDataHub

Pull personal data (emails, issues) and propose outbound actions (drafts, replies) through the PersonalDataHub access control gateway. Data is filtered, redacted, and shaped by the owner's policy before reaching the agent.

ClawHub Agent Skills author: Haojian Jin v0.1.0 14 files body ≈ 894 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process C 59/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorGmailGitHubAI 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
81/100
safety, quality, tests
Safety 60%
94
Quality 40%
62
Run on models
none yet
Process rating
C
59/100
Has gaps
Result and completion w 14
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: PersonalDataHub (ClawHub)

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 6

✓ No critical or high findings

Medium and low: 6
  • low Secrets in code secret-password-literal src/hub-client.test.ts:12
    Hard-coded password / key literal (may be an example) (test fixture / example file)
    apiKey: 'pk_t…123',
    fixture
  • low Secrets in code secret-password-literal src/index.test.ts:28
    Hard-coded password / key literal (may be an example) (test fixture / example file)
    apiKey: 'pk_test_123',
    fixture
  • low Secrets in code secret-password-literal src/index.test.ts:35
    Hard-coded password / key literal (may be an example) (test fixture / example file)
    apiKey: 'pk_test_123',
    fixture
  • low Secrets in code secret-password-literal src/index.test.ts:58
    Hard-coded password / key literal (may be an example) (test fixture / example file)
    apiKey: 'pk_test_123',
    fixture
  • low Secrets in code secret-password-literal src/index.test.ts:86
    Hard-coded password / key literal (may be an example) (test fixture / example file)
    apiKey: 'pk_test_123',
    fixture
  • low Secrets in code secret-password-literal src/tools.test.ts:13
    Hard-coded password / key literal (may be an example) (test fixture / example file)
    apiKey: 'pk_t…123',
    fixture

Files scanned: 14. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "skillKey"
  • note frontmatter-key unknown frontmatter key "emoji"
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "os"
  • note frontmatter-key unknown frontmatter key "install"
  • note frontmatter-key unknown frontmatter key "always"

Process rating: all ten parameters 59/100

  • 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
  • 40Consistency. Frontmatter name (PersonalDataHub) differs from the folder (personal-data-hub)
  • 100Tools and files. No external tools needed
  • 100Steps. 23 steps
  • 100Failures and branches. 3 branches, has a failure section
  • 100Execution cost. Instruction body is 894 tokens
  • 100Running it twice. Mutating operations check current state

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
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +3Description length 222: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 23 items
  • +4Has examples (6 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.

External checks

ClawHub: suspicious
This skill has a legitimate personal-data gateway purpose, but it needs review because it can automatically create and expose access keys, read local credentials, and bypass parts of its own gateway model.
LLM: suspicious (high) · VirusTotal: benign · 28 May 2026