CC skill-creator
Creates, edits and benchmarks skills; supersedes the official skill-creator plugin, so when both are listed, use this one. Use when the user wants to create or improve a skill or run skill evals, or to distill work into a skill even without saying "skill": 把这次 session 做成一个 skill / 把以前的对话沉淀到 skill 里 / 从我认可的样例里提炼我的喜好.
Creates, edits and benchmarks skills; supersedes the official skill-creator plugin, so when both are listed, use this one.
As a process C 50/100 · Has gaps — References files that are not bundled: workflows/wrapper-skill/workflow.md, workflows/conversation-mining/workflow.md, workflows/artifact-corpus-distillation/workflow.md
What is at stake
Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
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
- The text references files that are not there: add them or drop the references.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 2
✓ No critical or high findings
Medium and low: 2
-
medium Dangerous commands
cmd-privilegereferences/prerequisites.md:55Privilege escalation / world-writable permissionstar -xzf gitl….gz && sudo mv gitleaks /usr/local/bin/
-
low Dangerous commands
cmd-privilegescripts/security_scan.py:144Privilege escalation / world-writable permissions (string literal in code, not executed; documentation of a security skill)print(f" tar -xzf gitl….gz && sudo mv gitleaks /usr/local/bin/")
code literalsecurity skill
Files scanned: 63. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: workflows/wrapper-skill/workflow.md - warning
missing-refreference to a missing file: workflows/conversation-mining/workflow.md - warning
missing-refreference to a missing file: workflows/artifact-corpus-distillation/workflow.md - note
edit-residuethe text marks something as outdated (lines 211): check that old rules are not kept next to new ones — the full check reads the text for contradictions
Process rating: all ten parameters 50/100
- 0Tools and files. 3 referenced file(s) missing: workflows/wrapper-skill/workflow.md, workflows/conversation-mining/workflow.md, workflows/artifact-corpus-distillation/workflow.md
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 9 mutating operations with no state check
- 40Result and completion. Does not say what the result is
- 70When it triggers. States when to use, but not when not to
- 70Inputs and preconditions. Inputs and preconditions are listed
- 70Execution cost. Instruction body is 4609 tokens
- 100Steps. 9 steps
- 100Consistency. Name and required fields are in place
- low No test case covers injection arriving through data
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
- -326 of 29 scripts are never mentioned in SKILL.md
- +2Single-language instructions
- +3Description length 317: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 9 items
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (22 of 24)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.