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BD student-timetable

Student timetable manager for self or parent-managed child profiles. Includes init flow + profile registry under schedules/profiles/.

modbender/skill-library-mcp Agent Skills author: modbender MIT 26 files body ≈ 216 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Student timetable manager for self or parent-managed child profiles.

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

Proceduretype 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
83/100
safety, quality, tests
Safety 60%
96
Quality 40%
64
Run on models
none yet
Process rating
D
46/100
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

  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 · 4

✓ No critical or high findings

Medium and low: 4
  • low Secrets in code secret-high-entropy-token cli.js:99
    High-entropy token-like string (may be an id, hash or a credential)
    const { migr…eV2 } = require('./migrate_v3_schema.js');
  • low Secrets in code secret-high-entropy-token cli.js:100
    High-entropy token-like string (may be an id, hash or a credential)
    const report = migr…eV2(workspaceRoot, { dryRun: !!args.dryRun });
  • low Secrets in code secret-high-entropy-token migrate_v3_schema.js:141
    High-entropy token-like string (may be an id, hash or a credential)
    function migr…eV2(workspaceRoot, opts = {}) {
  • low Secrets in code secret-high-entropy-token migrate_v3_schema.js:155
    High-entropy token-like string (may be an id, hash or a credential)
    module.exports = { migr…eV2, migr…eV2 };

Files scanned: 25. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 46/100

  • 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
  • 60Tools and files. Uses tools (node) that frontmatter does not declare
  • 100Steps. 14 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 216 tokens
  • 100Running it twice. No mutating operations

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)
  • +4Structure: 1 headings, hard to scan
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 133: enough signal without eating the budget
  • +3Step-by-step instructions: 14 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.