SKILLEMALL.ai

CF seeddrop

(no description)

ClawHub Agent Skills author: LIU v1.0.4 MIT-0 71 files body ≈ 2 142 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process F 35/100 · Will not run — References files that are not bundled: scripts/adapters/*.ts, templates/reply-*.md

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
C
67/100
safety, quality, tests
Safety 60%
95
Quality 40%
24
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: scripts/adapters/*.ts, templates/reply-*.md
Tools and files w 18
0
Result and completion w 14
0
When it triggers w 12
0
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.

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

✓ No critical or high findings

Medium and low: 1
  • medium Broad scope meta-agent-memory-dump memory/blacklist.md
    Agent memory / workspace files bundled with the skill (2) — likely a workspace dump with personal data or tokens
    memory/blacklist.md, memory/brand-profile.md

Files scanned: 36. 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 missing-ref reference to a missing file: scripts/adapters/*.ts
  • warning missing-ref reference to a missing file: templates/reply-*.md

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: scripts/adapters/*.ts, templates/reply-*.md
  • 0Tools and files. 2 referenced file(s) missing: scripts/adapters/*.ts, templates/reply-*.md
  • 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
  • 40Consistency. Frontmatter name (seeddrop) differs from the folder (seed-drop)
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 56 steps
  • 100Execution cost. Instruction body is 2142 tokens
  • 100Running it twice. Mutating operations check current state
  • 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 (3 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)
  • +3Description length 0: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • -31 of 6 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 56 items
  • +4Reference files are cited in the instructions (2 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 24.

External checks

ClawHub: suspicious
SeedDrop appears to be a real social-engagement assistant, but it needs review because it uses live social-account cookies, browser/API automation, and subtle promotional reply guidance.
LLM: suspicious (high) · VirusTotal: · 29 May 2026