SKILLEMALL.ai

BD m365-mailbox

MS365 / Microsoft365 mailbox automation via Microsoft Graph for Microsoft 365 (M365) Business (work/school, Exchange Online) and M365 Home/Consumer (hotmail.com, outlook.com, live.com). Use when listing unread emails, searching mail, reading messages, creating drafts, editing drafts, sending email, replying, forwarding, and troubleshooting Graph/MSAL device-code authentication for mailbox access. Related keywords: Outlook, Exchange Online, IMAP alternative, OneDrive, SharePoint, Teams (via Microsoft Graph), mail, inbox. Privacy note: no third-party API key required; authentication uses your own Microsoft login (device code) and tokens are stored locally per profile. **Token cost:** ~800-2k tokens per use (skill body ~3-4k tokens, Graph calls + parsing).

modbender/skill-library-mcp Agent Skills author: modbender MIT 12 files body ≈ 728 tokens Open the sourcegithub.com analyzed 3 d ago

MS365 / Microsoft365 mailbox automation via Microsoft Graph for Microsoft 365 (M365) Business (work/school, Exchange Online) and M365 Home/Consumer…

As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationOutlookSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
95
Quality 40%
81
Run on models
none yet
Process rating
D
43/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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 · 5

    ✓ No critical or high findings

    Medium and low: 5
    • low Secrets in code secret-high-entropy-token package-lock.json:77
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…xlQ+qhZu…XDg==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:104
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…Acw+aHh4…d9e/hbIXq980/1QJg==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:146
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…q1F+ppbRo70+YeaD…NPN+GD6b…CXQ==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:166
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…8CM+MzKM…4lA==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:178
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha512-+NYs2QeMWy+GWFO…UmJ+93Q5…iX3/fpC6afS8Dhb/gz7R7eg==",
      detector

    Files scanned: 12. 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 43/100

    • 0Result and completion. Does not say what the result is
    • 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. 2 mutating operations with no state check
    • 60Tools and files. Uses tools (node) that frontmatter does not declare
    • 100Steps. 20 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 728 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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
    • -33 of 9 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 763: enough signal without eating the budget
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 20 items
    • +4Has examples (3 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.