CC robot-simulation
Robot and world descriptions (URDF, SRDF, SDF) for ROS, MoveIt and Gazebo. Use for ROS robot_description files (links, joints, limits, inertials, meshes), MoveIt planning groups, end effectors, group states and disabled collision pairs, Gazebo/gz models and worlds (sensors, plugins, physics), and opening or reviewing a `.urdf`, `.srdf` or `.sdf`. Not the 3D CAD part itself, which the `cad` skill makes, nor a part's structural or physics analysis, nor signed-distance fields.
Robot and world descriptions (URDF, SRDF, SDF) for ROS, MoveIt and Gazebo.
As a process C 57/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
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.
The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.
Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.
How to improve
- 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.
- 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 · 2
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high Dangerous commands
cmd-pipe-to-shellSKILL.md:40Downloads and executes remote code from an unrecognised host (pipe to shell)curl -fsSL https://texttocad.dev/install.sh | sh
Medium and low: 1
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low Concealment
en-hide-from-userreferences/urdf-ledger.md:102Instruction to hide actions from the user (negated — the text forbids it)Do not silently copy visual origins into inertial origins. The visual frame, collision frame, link frame, and center of mass can all differ.
negated
Files scanned: 23. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 57/100
- 0Result and completion. Does not say what the result is
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Inputs and preconditions. Does not say what the process needs to start
- 30Running it twice. 6 mutating operations with no state check
- 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
- 100Steps. 38 steps
- 100Failures and branches. 1 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3867 tokens
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low The response is described with custom markup (5 tags): a typed call is more reliable
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)
- +3Output format is not stated: the model decides each time
- +2Single-language instructions
- +3Description length 478: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 38 items
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (20 of 20)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.