DF memprocessor
(no description)
Not recommendedlow grade D
As a process F 33/100 · Will not run — References files that are not bundled: ../LICENSE
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 · 2
✓ No critical or high findings
Medium and low: 2
-
low Secrets in code
secret-high-entropy-tokenapp/config.py:48High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)EMBEDDING_MODEL: str = "para…-v2"
quoted -
low Dangerous commands
cmd-background-processmemory-manager.sh:24Starts a background / autostarted processnohup python3 start-simple.py > "$LOG_FILE" 2>&1 &
Files scanned: 28. 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: ../LICENSE
Process rating: all ten parameters 33/100
Will not run. References files that are not bundled: ../LICENSE
- 0Tools and files. 1 referenced file(s) missing: ../LICENSE
- 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
- 100Steps. 11 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 443 tokens
- 100Running it twice. No mutating operations
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
- -2localhost URLs: will not work for another user
- +1No license
- +2Single-language instructions
- +4Structure: 8 headings
- +3Step-by-step instructions: 11 items
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 0.
External checks
ClawHub: suspicious
This is a disclosed AI memory/persona service, but it needs Review because it stores private memory long-term while deletion, authentication, and archival safeguards are weak.
LLM: suspicious (high) · VirusTotal: · 29 May 2026