SKILLEMALL.ai

BB lead-enrichment

Enrich a company or person lead from public-web signals before outreach. Produces an ICP-fit verdict, key facts, red flags, and optional structured output.

ClawHub Agent Skills author: jernejcicorbin-hub v1.0.0 MIT-0 7 files · 1 script body ≈ 2 030 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 68/100 · Nearly there — weak spots: when it triggers, consistency, progress reporting

GeneratorSales and CRMInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
85
Quality 40%
87
Run on models
none yet
Process rating
B
68/100
Nearly there
Progress reporting w 2
0
When it triggers w 12
20
Consistency w 8
40
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.

Dangerous commands 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 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.

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 · 3

    ✓ No critical or high findings

    Medium and low: 3
    • medium Exfiltration net-credential-use lead-enrich.sh:95
      Credential used in a network call (verify the destination is the intended service)
      curl -fsS -H "Authorization: Bearer $PRISMFY_API_KEY" "$ME_URL"
    • medium Dangerous commands cmd-shell-rc README.md:69
      Writes to a shell startup file
      echo 'export PRISMFY_API_KEY="ss_live_your_key_here"' >> ~/.bashrc
    • medium Dangerous commands cmd-shell-rc SKILL.md:52
      Writes to a shell startup file
      echo 'export PRISMFY_API_KEY="ss_live_your_key_here"' >> ~/.bashrc

    Files scanned: 7. 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 68/100

    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 40Consistency. Frontmatter name (lead-enrichment) differs from the folder (lead-enrichment-skill)
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 134 steps
    • 100Failures and branches. 7 branches, has a failure section
    • 100Execution cost. Instruction body is 2030 tokens
    • 100Running it twice. Mutating operations check current state
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 12 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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 155: enough signal without eating the budget
    • +4Structure: 19 headings
    • +3Step-by-step instructions: 134 items
    • +3Output format is stated explicitly
    • +4Has examples (10 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: clean
    This lead-enrichment skill appears to do what it claims, but users should understand that their queries are sent to Prismfy and the setup docs handle the API key casually.
    LLM: benign (medium) · VirusTotal: · 29 May 2026