SKILLEMALL.ai

DC Biomimetic Memory Architecture

(no description)

Not recommendedcritical or high security findings · low grade D
ClawHub Agent Skills author: Neo Shi v0.1.7 MIT-0 22 files · 8 scripts body ≈ 821 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 54/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
D
42/100
safety, quality, tests
Safety 60%
57
Quality 40%
20
Run on models
none yet
Process rating
C
54/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

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.

Dangerous commands
If you install

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.

For the author

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

  1. 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.
  2. Add a description to the frontmatter: without it the skill never triggers.
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 · 9

  • high Dangerous commands cmd-persistence scripts/install.sh:967
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    (crontab -l 2>/dev/null; echo "0 */6 * * * $WORKSPACE/skills/biomimetic-memory-architecture/scripts/git-backup.sh") | crontab -
  • high Dangerous commands cmd-persistence scripts/install.sh:1007
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    (crontab -l 2>/dev/null; echo "30 23 * * * $WORKSPACE/skills/biomimetic-memory-architecture/scripts/metrics.sh --collect") | crontab -
Medium and low: 7
  • low Dangerous commands cmd-cron-mention references/daily-distillation.md:103
    Mentions editing / listing crontab
    - Check MEMORY.md scheduled jobs table against actual cron jobs (openclaw cron list + crontab -l). Remove entries for crons that no longer exist. Add entries for crons not yet documented.
  • low Dangerous commands cmd-cron-mention references/daily-distillation.md:141
    Mentions editing / listing crontab
    - Run openclaw cron list and crontab -l. Verify no two jobs within 15 minutes. Fix MEMORY.md jobs table if out of sync.
  • low Dangerous commands cmd-cron-mention scripts/install.sh:963
    Mentions editing / listing crontab
    if ! crontab -l 2>/dev/null | grep -q "git-backup"; then
  • low Dangerous commands cmd-cron-mention scripts/install.sh:967
    Mentions editing / listing crontab
    (crontab -l 2>/dev/null; echo "0 */6 * * * $WORKSPACE/skills/biomimetic-memory-architecture/scripts/git-backup.sh") | crontab -
  • low Dangerous commands cmd-cron-mention scripts/install.sh:973
    Mentions editing / listing crontab (string literal in code, not executed)
    echo "      Review: crontab -l"
    code literal
  • low Dangerous commands cmd-cron-mention scripts/install.sh:1003
    Mentions editing / listing crontab
    if ! crontab -l 2>/dev/null | grep -q "metrics.sh"; then
  • low Dangerous commands cmd-cron-mention scripts/install.sh:1007
    Mentions editing / listing crontab
    (crontab -l 2>/dev/null; echo "30 23 * * * $WORKSPACE/skills/biomimetic-memory-architecture/scripts/metrics.sh --collect") | crontab -

Files scanned: 22. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error description-missing SKILL.md: no `description` — the skill can never trigger
  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Implicit keys need to be on a single line at line 5, column 1: homepage: https://github.com/Suidge/biomimetic-memory-architecture Replace OpenCortex and Lesson-Imprint with integrated OpenClaw memory structure… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 54/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 40Consistency. Frontmatter name (Biomimetic Memory Architecture) differs from the folder (biomimetic-memory-architecture)
  • 50When it triggers. States when to use, but not when not to
  • 100Tools and files. No external tools needed
  • 100Steps. 18 steps
  • 100Execution cost. Instruction body is 821 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress

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
  • -33 of 11 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 5 headings
  • +3Step-by-step instructions: 18 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (7 of 7)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 20.

External checks

ClawHub: suspicious
This appears to be a legitimate memory-management skill, but it gives scheduled automation broad power to persist, reorganize, and move private memory files with some under-disclosed or contradictory approval boundaries.
LLM: suspicious (high) · VirusTotal: · 29 May 2026