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DD start-1-4

Module 1.4: Agents. Teaches parallel delegated agents for processing PM research and meeting notes.

The skillemall take

Promises to teach parallel agents for processing PM research and meeting notes. In reality: 33 files with half the content missing and broken references. Checks found concealment issues (high severity), quality score dropped to 51. Only 6317 tokens total—too thin for a full course. Won't run: no model execution, sandbox validation failed.

Don't install. The skill is incomplete, links are broken, agent logic unverified. Wait for an update or find an alternative with complete documentation.

Not recommendedcritical or high security findings · low grade D
carlvellotti/claude-code-pm-course Agent Skills author: carlvellotti 33 files body ≈ 6 317 tokens Open the sourcegithub.com↗ analyzed 5 d ago

Module 1.4: Agents. Teaches parallel delegated agents for processing PM research and meeting notes.

As a process D 47/100 · Unfinished process — References files that are not bundled: </absolute/path/to/workspace/relative/path/file.md>

ProcedureJiraAsanaClickUpAI 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
D
70/100
safety, quality, tests
Safety 60%
82
Quality 40%
51
Run on models
none yet
Process rating
D
47/100
Unfinished process
References files that are not bundled: </absolute/path/to/workspace/relative/path/file.md>
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Concealment
If you install

The skill tells the agent to hide things from you: not to show errors, not to mention actions, to report differently from what was done. You lose the ability to see what the agent really did.

For the author

Transparency beats a smooth answer. If the goal is to hide technical noise, ask the agent to "summarise briefly", not to "not mention".

How to improve

  1. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
  2. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  3. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  4. 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 · 1

  • high Concealment en-hide-from-user SKILL.md:9
    Instruction to hide actions from the user
    At the start of this lesson, silently copy the bundled lesson assets into the workspace if they are not already present. Do not show command output to the student.

Files scanned: 33. 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")
  • warning body-long SKILL.md body ≈ 6317 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: </absolute/path/to/workspace/relative/path/file.md>

Process rating: all ten parameters 47/100

Will not run. References files that are not bundled: </absolute/path/to/workspace/relative/path/file.md>
  • 0Tools and files. 1 referenced file(s) missing: </absolute/path/to/workspace/relative/path/file.md>
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 40Result and completion. Does not say what the result is
  • 70Execution cost. Instruction body is 6317 tokens
  • 85Steps. 150 steps, 2 vague phrases
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 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)
  • +3Description length 99: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -218 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 150 items
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 51.