SKILLEMALL.ai

BC signal-dreaming

Consolidate daily session logs into L2 topic files and a compact MEMORY.md index, in three bounded phases with backups, lifecycle and secret guards.

ClawHub Agent Skills author: kelven.ling v5.0.2 MIT-0 5 files · 1 script body ≈ 2 441 tokens Open the sourceclawhub.ai analyzed 27 h ago

Consolidate daily session logs into L2 topic files and a compact MEMORY.md index, in three bounded phases with backups, lifecycle and secret guards.

As a process C 61/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

ProcedureSoftware developmentData and analyticsAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
99
Quality 40%
71
Run on models
none yet
Process rating
C
61/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Secrets in code secret-password-literal references/dream-audit.sh:134
    Hard-coded password / key literal (may be an example) (detector / deny-list definition)
    secret_re='(github_pat_[A-Za-z0-9_]{20,}|ghp_[A-Za-z0-9]{20,}|gho_[A-Za-z0-9]{20,}|sk-[A-Za-z0-9_-]{20,}|AKIA[0-9A-Z]{16}|AIza[0-9A-Za-z_-]{35}|[0-9]{8,12}:AA[A-Za-z0-9_-]{30,}|mfa\.[A-Za-z0-9_-]{20,}
    detector

Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note edit-residue the text marks something as outdated (lines 60): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 61/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 8 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 100Tools and files. No external tools needed
  • 100Steps. 24 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2441 tokens
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low The response is described with custom markup (4 tags): a typed call is more reliable

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
  • -5TODO / placeholder text left in the skill
  • +1No license
  • +2Single-language instructions
  • +3Description length 148: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 24 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: suspicious
The skill is coherent and not malicious, but it should be reviewed because it edits durable memory and includes unsafe shell/path patterns plus a home-configuration read outside the workspace.
LLM: suspicious (high) · VirusTotal: · 11 Sept 2026