SKILLEMALL.ai

DF lancedb-memory

(no description)

ClawHub Agent Skills author: pntrivedy v1.0.0 7 files · 5 scripts body ≈ 1 640 tokens Open the sourceclawhub.ai↗ analyzed 5 d ago

!/usr/bin/env python3 """

As a process F 31/100 · No process to follow — weak spots: steps, result and completion, when it triggers

ReferenceData and analyticsSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
D
60/100
safety, quality, tests
Safety 60%
100
Quality 40%
0
Run on models
none yet
Process rating
F
31/100
No process to follow
Steps w 15
0
Result and completion w 14
0
When it triggers w 12
0
the three weakest of ten parameters · all ten

How to improve

  1. 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 · 0

✓ No critical or high findings

Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error frontmatter SKILL.md: no YAML frontmatter block found
  • error name-missing SKILL.md: frontmatter has no `name`
  • error description-missing SKILL.md: no `description` — the skill can never trigger

Process rating: all ten parameters 31/100

  • 0Steps. Prose only: no discrete steps
  • 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
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 7 mutating operations with no state check
  • 55Failures and branches. 1 branches
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1640 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
  • +4Structure: 2 headings, hard to scan
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • +1No license
  • +2Single-language instructions
  • +4Has examples (0 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 0.

In the sandbox Скрипты не запустились

The skill's scripts were run in a throwaway machine: no network, fake keys in the home directory, a tracer watching. We wrote down what they did. Reaching for the network or for secrets caps the technical grade at C; a quiet run adds no points.

Запущено 6 скриптов; каждому дали двадцать секунд, поддельный домашний каталог с ключами и сеть, в которой ничего нет.

Ни один не дошёл до работы — им не хватило зависимостей, аргументов или файлов. Это не отзыв о поведении: наблюдать было не за чем.

clawdbot_memory.pyне запустился: ModuleNotFoundError: No module named 'lancedb'
final_memory.pyне запустился: ModuleNotFoundError: No module named 'lancedb'
lancedb_memory.pyне запустился: ModuleNotFoundError: No module named 'lancedb'
simple_memory.pyне запустился: ModuleNotFoundError: No module named 'lancedb'
SKILL.mdне запустился: ModuleNotFoundError: No module named 'lancedb'
working_memory.pyне запустился: ModuleNotFoundError: No module named 'lancedb'

26 Oct 2026

External checks

ClawHub: suspicious
This local memory skill is purpose-aligned, but it creates persistent storage in a hard-coded path on load and lacks clear user controls for consent, retention, and deletion.
LLM: suspicious (high) · VirusTotal: benign · 10 Sept 2026