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BC habitchat

Personal habit coach that tracks daily habits, streaks, and provides AI-powered coaching. Say things like "track a new habit", "log my habits", "show my streaks", or "coach me".

modbender/skill-library-mcp Agent Skills author: modbender MIT 5 files body ≈ 2 434 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Personal habit coach that tracks daily habits, streaks, and provides AI-powered coaching.

As a process C 61/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

ProcedurePersonal productivitytype 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%
97
Quality 40%
75
Run on models
none yet
Process rating
C
61/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
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 · 3

✓ No critical or high findings

Medium and low: 3
  • low Dangerous commands cmd-cron-mention scripts/reminder.py:111
    Mentions editing / listing crontab (string literal in code, not executed)
    f"To activate, add a cron job: crontab -e and add:\n"
    code literal
  • low Dangerous commands cmd-cron-mention scripts/reminder.py:129
    Mentions editing / listing crontab (string literal in code, not executed)
    f"To activate, add a cron job: crontab -e and add:\n"
    code literal
  • low Dangerous commands cmd-cron-mention scripts/reminder.py:200
    Mentions editing / listing crontab (string literal in code, not executed)
    f"Remember to also remove the cron job if you added one: crontab -e",
    code literal

Files scanned: 5. 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")
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 61/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 7 mutating operations with no state check
  • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 73 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2434 tokens
  • 100Progress reporting. Reports progress
  • high The skill tells the model to perform an irreversible action with no human approval

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
  • -41 reference files, but SKILL.md never points to them: the model will not open them
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 4 example trigger phrases
  • +3Description length 177: enough signal without eating the budget
  • +4Structure: 23 headings
  • +3Step-by-step instructions: 73 items
  • +4Has examples (13 code blocks)
  • +3All 3 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.