SKILLEMALL.ai

BC lethe-memory

Use Lethe persistent memory for startup orientation, recall, logging, flags, and session compaction.

ClawHub Agent Skills author: MentholMike v0.1.9 MIT-0 2 files body ≈ 1 070 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 60/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
77/100
safety, quality, tests
Safety 60%
75
Quality 40%
79
Run on models
none yet
Process rating
C
60/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
30
Running it twice w 4
30
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration 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 instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

How to improve

    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 · 5

    ✓ No critical or high findings

    Medium and low: 5
    • medium Exfiltration net-credential-use SKILL.md:29
      Credential used in a network call (verify the destination is the intended service)
      curl -s "http://loca…483/api/sessions/${SESSION_KEY}/summary"
    • medium Exfiltration net-credential-use SKILL.md:55
      Credential used in a network call (verify the destination is the intended service)
      curl -s "http://loca…483/api/sessions/${SESSION_KEY}/events?limit=20"
    • medium Exfiltration net-credential-use SKILL.md:105
      Credential used in a network call (verify the destination is the intended service)
      curl -s -X POST "http://loca…483/api/sessions/${SESSION_KEY}/compact"
    • medium Exfiltration net-credential-use SKILL.md:121
      Credential used in a network call (verify the destination is the intended service)
      curl -s "http://loca…483/api/sessions/${SESSION_KEY}/summary"
    • medium Exfiltration net-credential-use SKILL.md:124
      Credential used in a network call (verify the destination is the intended service)
      curl -s -X POST "http://loca…483/api/sessions/${SESSION_KEY}/compact"

    Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 60/100

    • 0Result and completion. Does not say what the result is
    • 30Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 6 mutating operations with no state check
    • 40Consistency. Frontmatter name (lethe-memory) differs from the folder (lethe)
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 19 steps
    • 100Failures and branches. 5 branches, has a failure section
    • 100Execution cost. Instruction body is 1070 tokens
    • 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 100: 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: 19 items
    • +4Has examples (7 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

    External checks

    ClawHub: clean
    This is a local persistent-memory helper that stores and recalls selected work context, with privacy precautions users should understand.
    LLM: benign (high) · VirusTotal: · 4 Jun 2026