DF phd-research-companion
(no description)
Not recommendedlow grade D
As a process F 30/100 · Will not run — References files that are not bundled: scripts/create_experiment_design.py
ProcedureLaTeXData and analyticsResearchtype and topics are labelled automatically from the skill text
How to improve
- Add a description to the frontmatter: without it the skill never triggers.
- 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 · 6
✓ No critical or high findings
Medium and low: 6
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low Dangerous commands
cmd-cron-mentionBACKGROUND-RUN.md:131Mentions editing / listing crontabcrontab -e
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low Dangerous commands
cmd-background-processBACKGROUND-RUN.md:180Starts a background / autostarted processnohup python multi_source_search.py ... &
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low Dangerous commands
cmd-background-processBACKGROUND-RUN.md:195Starts a background / autostarted processnohup python multi_source_search.py -q "$TOPIC" -l 20 > step1.log 2>&1 &
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low Dangerous commands
cmd-cron-mentionREADME.md:74Mentions editing / listing crontab# Edit crontab: crontab -e
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low Dangerous commands
cmd-cron-mentionSKILL.md:346Mentions editing / listing crontabcrontab -e
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low Dangerous commands
cmd-eval-dynamictest_suit.py:29Dynamic code execution from decoded/untrusted input (test fixture / example file)exec(open(full_path).read().split('if __name__')[0][:1000]) # Basic syntax checkfixture
Files scanned: 13. 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 - warning
missing-refreference to a missing file: scripts/create_experiment_design.py
Process rating: all ten parameters 30/100
Will not run. References files that are not bundled: scripts/create_experiment_design.py
- 0Tools and files. 1 referenced file(s) missing: scripts/create_experiment_design.py
- 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
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 3 mutating operations with no state check
- 100Steps. 17 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3577 tokens
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
- -213 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +4Structure: 42 headings
- +3Step-by-step instructions: 17 items
- +4Has examples (28 code blocks)
- +3All 6 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 0.
External checks
ClawHub: suspicious
This skill fits a PhD research workflow, but it overstates what it can do and includes under-disclosed local scanning, secondary file writes, and code-executing validation behavior.
LLM: suspicious (high) · VirusTotal: · 29 May 2026