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BC pms-task

Create PMS tasks (bugs or features) on GitHub and sync to Google Sheets. Use when user says 'PMS Bug addition' for bugs or 'PMS Feature addition' for features. Creates GitHub issue with appropriate labels, assigns to roshanasingh4, updates PMS Task Tracker sheet and Team Daily Update sheet.

ClawHub Agent Skills author: Tara Singh Kharwad v1.0.0 4 files body ≈ 1 552 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

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

GeneratorGoogle SheetsGitHubInfrastructuretype 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
89/100
safety, quality, tests
Safety 60%
93
Quality 40%
83
Run on models
none yet
Process rating
C
59/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

    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 · 7

    ✓ No critical or high findings

    Medium and low: 7
    • low Secrets in code secret-high-entropy-token references/sheet-schemas.md:4
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      **ID:** `1O07…i8U`
      quoted
    • low Secrets in code secret-high-entropy-token references/sheet-schemas.md:35
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      **ID:** `1GgR…MQs`
      detector
    • low Secrets in code secret-high-entropy-token SKILL.md:80
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      **Sheet ID:** `1O07…i8U`
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:112
      High-entropy token-like string (may be an id, hash or a credential)
      gog sheets get 1O07…i8U "Production!A:A" --json | jq '.values | .[-1][0]'
    • low Secrets in code secret-high-entropy-token SKILL.md:118
      High-entropy token-like string (may be an id, hash or a credential)
      gog sheets append 1O07…i8U "Production!A:K" \
    • low Secrets in code secret-high-entropy-token SKILL.md:125
      High-entropy token-like string (may be an id, hash or a credential)
      gog sheets append 1O07…i8U "Production!A:K" \
    • low Secrets in code secret-high-entropy-token SKILL.md:131
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      **Sheet ID:** `1GgR…MQs`
      detector

    Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 59/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 10 mutating operations with no state check
    • 60Result and completion. Output format stated, no completion criterion
    • 100Tools and files. No external tools needed
    • 100Steps. 25 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1552 tokens

    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)
    • -42 reference files, but SKILL.md never points to them: the model will not open them
    • +1No license
    • +2Single-language instructions
    • +3Description length 291: enough signal without eating the budget
    • +4Structure: 24 headings
    • +3Step-by-step instructions: 25 items
    • +3Output format is stated explicitly
    • +4Has examples (9 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

    External checks

    ClawHub: clean
    This skill openly automates PMS task creation in a specific GitHub repo and two Google Sheets, with no hidden installer or unrelated behavior found.
    LLM: benign (high) · VirusTotal: · 29 May 2026