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BF agent-design-review

Review an LLM agent design and find where it will be unreliable, expensive, or unsafe. Use when asked to review an agent architecture, critique a multi-step/tool-using agent, debug an agent that loops or goes off-task, or harden an agent before launch. Produces a structured review — task fit, control flow, tools, memory/context, failure handling, cost, and safety — with prioritised findings and fixes.

mohitagw15856/pm-claude-skills Agent Skills author: mohitagw15856 MIT 1 file body ≈ 998 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Review an LLM agent design and find where it will be unreliable, expensive, or unsafe.

As a process F 56/100 · Will not run — References files that are not bundled: ../agent-spec/SKILL.md, ../llm-cost-latency-budget/SKILL.md, ../llm-guardrails-spec/SKILL.md

AnalyzerAI and agentstype 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
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
Run on models
none yet
Process rating
F
56/100
Will not run
References files that are not bundled: ../agent-spec/SKILL.md, ../llm-cost-latency-budget/SKILL.md, ../llm-guardrails-spec/SKILL.md
Tools and files w 18
0
Progress reporting w 2
0
When it triggers w 12
20
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: agent-design-review (mohitagw15856/pm-claude-skills)

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: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../agent-spec/SKILL.md
  • warning missing-ref reference to a missing file: ../llm-cost-latency-budget/SKILL.md
  • warning missing-ref reference to a missing file: ../llm-guardrails-spec/SKILL.md

Process rating: all ten parameters 56/100

Will not run. References files that are not bundled: ../agent-spec/SKILL.md, ../llm-cost-latency-budget/SKILL.md, ../llm-guardrails-spec/SKILL.md
  • 0Tools and files. 3 referenced file(s) missing: ../agent-spec/SKILL.md, ../llm-cost-latency-budget/SKILL.md, ../llm-guardrails-spec/SKILL.md
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 16 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 998 tokens
  • 100Running it twice. Mutating operations check current state

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)
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 404: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 16 items
  • +3Output format is stated explicitly

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.