DC chat-history
(no description)
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
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
- Add a description to the frontmatter: without it the skill never triggers.
- 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 · 15
✓ No critical or high findings
Medium and low: 15
-
medium Dangerous commands
cmd-eval-dynamicmain.py:100Dynamic code execution from decoded/untrusted inputos.system(f"crontab {temp_file}") -
medium Dangerous commands
cmd-eval-dynamicmain.py:125Dynamic code execution from decoded/untrusted inputos.system(f"crontab {temp_file}") -
medium Dangerous commands
cmd-eval-dynamicmain.py:184Dynamic code execution from decoded/untrusted inputos.system(f"crontab {temp_file}") -
low Dangerous commands
cmd-cron-mentionDELIVERY.md:361Mentions editing / listing crontabcrontab -l
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low Dangerous commands
cmd-cron-mentionDELIVERY.md:364Mentions editing / listing crontabcrontab -e
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low Dangerous commands
cmd-cron-mentionDELIVERY.md:448Mentions editing / listing crontabcrontab -l
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low Dangerous commands
cmd-cron-mentionmain.py:58Mentions editing / listing crontab (quoted — discussed, not commanded)result = os.popen("crontab -l 2>/dev/null | grep chat-history").read()quoted -
low Dangerous commands
cmd-cron-mentionmain.py:83Mentions editing / listing crontab (quoted — discussed, not commanded)existing = os.popen("crontab -l 2>/dev/null").read()quoted -
low Dangerous commands
cmd-cron-mentionmain.py:110Mentions editing / listing crontab (quoted — discussed, not commanded)existing = os.popen("crontab -l 2>/dev/null").read()quoted -
low Dangerous commands
cmd-cron-mentionmain.py:165Mentions editing / listing crontab (quoted — discussed, not commanded)existing = os.popen("crontab -l 2>/dev/null").read()quoted -
low Dangerous commands
cmd-cron-mentionSECURITY-NOTICE-v3.md:22Mentions editing / listing crontab (documentation table row; documentation of a security skill)| 检查任务 | `os.popen("crontab -l")` | `openclaw cron list` |tablesecurity skill -
low Dangerous commands
cmd-cron-mentionSECURITY-NOTICE-v3.md:111Mentions editing / listing crontab (documentation of a security skill)# crontab -l | grep -v chat-history | crontab -
security skill
A further 3 matches are quotations in this security skill's documentation and are not counted as findings.
Files scanned: 20. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- error
frontmatterSKILL.md: no YAML frontmatter block found - error
name-missingSKILL.md: frontmatter has no `name` - error
description-missingSKILL.md: no `description` — the skill can never trigger
Process rating: all ten parameters 53/100
- 0Result and completion. Does not say what the result is
- 0When it triggers. No condition that starts the skill
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 100Tools and files. No external tools needed
- 100Steps. 29 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1929 tokens
- 100Running it twice. No mutating operations
- 100Progress reporting. Reports progress
- low 11 top-level sections: this looks like several domains in one skill
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 0: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -4Absolute local paths (C:\Users, /home/…): not portable
- -223 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +4Structure: 46 headings
- +3Step-by-step instructions: 29 items
- +4Has examples (54 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 0.