SKILLEMALL.ai

CF soul-memory

Intelligent memory management system v3.5.13 - 修復 heartbeat-trigger.py 改用上次 heartbeat 到現在的增量窗口抓取 important context,避免固定 3 小時窗口遺漏與重掃。

Not recommendedcritical or high security findings
ClawHub Agent Skills author: kingofqin2026 v3.5.13 MIT-0 69 files · 4 scripts body ≈ 2 054 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 38/100 · Will not run — References files that are not bundled: LICENSE

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
C
70/100
safety, quality, tests
Safety 60%
68
Quality 40%
74
Run on models
none yet
Process rating
F
38/100
Will not run
References files that are not bundled: LICENSE
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

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. 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 · 7

  • high Dangerous commands cmd-persistence install.sh:494
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    (crontab -l 2>/dev/null | grep -v "soul_memory" ; cat "$CRON_TMP") | crontab -
Medium and low: 6
  • medium Broad scope meta-agent-memory-dump HEARTBEAT.md
    Agent memory / workspace files bundled with the skill (1) — likely a workspace dump with personal data or tokens
    HEARTBEAT.md
  • medium Dangerous commands cmd-shell-rc install.sh:871
    Writes to a shell startup file
    echo -e "   ${YELLOW}source ~/.bashrc${NC}  (或 ~/.zshrc)"
  • low Dangerous commands cmd-cron-mention install.sh:484
    Mentions editing / listing crontab
    if crontab -l 2>/dev/null | grep -q "soul_memory"; then
  • low Dangerous commands cmd-cron-mention install.sh:494
    Mentions editing / listing crontab
    (crontab -l 2>/dev/null | grep -v "soul_memory" ; cat "$CRON_TMP") | crontab -
  • low Dangerous commands cmd-cron-mention install.sh:501
    Mentions editing / listing crontab
    crontab -l | grep "soul_memory"
  • low Dangerous commands cmd-cron-mention install.sh:881
    Mentions editing / listing crontab (detector / deny-list definition; string literal in code, not executed)
    echo -e "   ${YELLOW}crontab -l | grep soul_memory${NC}"
    detectorcode literal

Files scanned: 68. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: LICENSE
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "repository"
  • note frontmatter-key unknown frontmatter key "keywords"

Process rating: all ten parameters 38/100

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
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 1 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 58 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2054 tokens
  • low 15 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)
  • +3Output format is not stated: the model decides each time
  • -229 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +3Description length 132: enough signal without eating the budget
  • +4Structure: 31 headings
  • +3Step-by-step instructions: 58 items
  • +4Has examples (8 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: suspicious
This is a real long-term memory skill, but it installs broad persistent automation and exposes sensitive local conversation memory with weak safeguards.
LLM: suspicious (high) · VirusTotal: suspicious · 28 May 2026