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BD california-bar-complete

Complete prep for all three scored components of the California Bar Exam: the five written ESSAYS (13 subjects — Business Associations, Civil Procedure, Community Property, Constitutional Law, Contracts, Criminal Law & Procedure, Evidence, Professional Responsibility, Real Property, Remedies, Torts, Trusts, Wills & Succession), the PERFORMANCE TEST, and the multiple-choice MBE (7 subjects). Trigger whenever someone is studying for the California bar (or the MBE) and says things like: "give me the rule for [issue]", "big issues in [subject]", "drill/quiz me on [topic]", "MBE questions on [subject]", "teach me [doctrine]", "build an attack outline", "grade my essay", "memorizable paragraph for [issue]", "performance test approach", or "make a study plan" — or names any tested essay/MBE subject in a study, memorization, drilling, or practice-question context. Also trigger when a student uploads a practice essay, PT, or question set to be graded or turned into rule blocks. When in doubt during bar prep, trigger.

lawve-ai/awesome-legal-skills Agent Skills author: lawve-ai 39 files body ≈ 1 876 tokens Open the sourcegithub.com↗ analyzed 27 h ago

Complete prep for all three scored components of the California Bar Exam: the five written ESSAYS (13 subjects — Business Associations, Civil Procedure…

As a process D 37/100 · Unfinished process — References files that are not bundled: references/essays/<subject>.md, references/standard-paragraphs/<subject>.md

ProcedureWriting and documentsLearningtype and topics are labelled automatically from the skill text
Runs in: 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) OpenClaw Goose OpenCode
JSON
Technical rating
B
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
74
Run on models
none yet
Process rating
D
37/100
Unfinished process
References files that are not bundled: references/essays/<subject>.md, references/standard-paragraphs/<subject>.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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 · 0

✓ No critical or high findings

Files scanned: 39. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/essays/<subject>.md
  • warning missing-ref reference to a missing file: references/standard-paragraphs/<subject>.md

Process rating: all ten parameters 37/100

Will not run. References files that are not bundled: references/essays/<subject>.md, references/standard-paragraphs/<subject>.md
  • 0Tools and files. 2 referenced file(s) missing: references/essays/<subject>.md, references/standard-paragraphs/<subject>.md
  • 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
  • 40Consistency. Frontmatter name (california-bar-complete) differs from the folder (california-bar-complete-robb-miller)
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 7 steps
  • 100Execution cost. Instruction body is 1876 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 1023: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +2Single-language instructions
  • +5Description quotes 10 example trigger phrases
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 7 items
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.