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BC ms-forms-auto

Automate Microsoft Forms submission with dual-calendar integration and M365 MFA support. Use when: automating daily productivity log submissions, submitting Microsoft Forms with calendar-based auto-fill, setting up scheduled form submissions with training/content-dev/learning hour calculations, or working with org MS Forms that require M365 number-matching MFA. Triggers on phrases like "fill out MS form", "automate form submission", "daily form report", "submit Microsoft form", "daily productivity log", "training hours form".

ClawHub Agent Skills author: ClaireAICodes v1.0.0 MIT-0 19 files body ≈ 1 503 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

IntegrationPersonal productivityInfrastructuretype 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
88/100
safety, quality, tests
Safety 60%
93
Quality 40%
80
Run on models
none yet
Process rating
C
57/100
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

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 config/form-structure.json:13
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "questionId": "Ques…8a5",
      quoted
    • low Secrets in code secret-high-entropy-token config/form-structure.json:20
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "questionId": "Ques…ec0",
      quoted
    • low Secrets in code secret-high-entropy-token config/form-structure.json:27
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "questionId": "Ques…2a0",
      quoted
    • low Secrets in code secret-high-entropy-token config/form-structure.json:34
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "questionId": "Ques…8bd",
      quoted
    • low Secrets in code secret-high-entropy-token config/form-structure.json:41
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "questionId": "Ques…940",
      quoted
    • low Secrets in code secret-high-entropy-token package-lock.json:20
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…uWm+fFRcIOgKBMiOBP+eXiy…9ab+DDKA==",
      detector
    • low Dangerous commands cmd-privilege scripts/submit.js:341
      Privilege escalation / world-writable permissions (detector / deny-list definition; string literal in code, not executed)
      args: ['--no-sandbox', '--disable-setuid-sandbox'],
      detectorcode literal

    Files scanned: 19. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Automate Microsoft Forms submission with dual-calendar integration… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value

    Process rating: all ten parameters 57/100

    • 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
    • 30Running it twice. 1 mutating operations with no state check
    • 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 85Steps. 21 steps, 1 vague phrases
    • 100Failures and branches. 4 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1503 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • -36 of 12 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 6 example trigger phrases
    • +3Description length 531: enough signal without eating the budget
    • +4Structure: 19 headings
    • +3Step-by-step instructions: 21 items
    • +4Has examples (8 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

    External checks

    ClawHub: suspicious
    This skill appears to do the Microsoft Forms automation it advertises, but it requires high-trust Microsoft 365 credential and session access and can submit real records with limited safeguards.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026