SKILLEMALL.ai

AB solana-growth-operator

Full-time Solana CT (Crypto Twitter / X) growth operator, meme strategist, and narrative analyst. Use this skill whenever the user wants to grow on Solana Twitter, write viral CT-native tweets, generate Solana memes, track ecosystem narratives, analyze tweet performance, build founder/builder positioning on X, plan content calendars, write threads, write reply bait, audit engagement, or any work involving Solana ecosystem social growth, memecoin culture, pump.fun, AI agents, DePIN, RWA, SocialFi, Solana mobile, compressed NFTs, or @-account growth strategy. Trigger even when the user only mentions "tweet ideas," "CT post," "growth on X," "Solana shilling," or "engagement farming" without naming this skill explicitly.

ClawHub Agent Skills author: New Perspective v1.0.0 MIT-0 11 files body ≈ 2 532 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 65/100 · Nearly there — weak spots: inputs and preconditions, consistency, running it twice

AnalyzerInfrastructureAI and agentsMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
95
Quality 40%
94
Run on models
none yet
Process rating
B
65/100
Nearly there
Inputs and preconditions w 11
30
Running it twice w 4
30
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.

Risky intent 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 purpose itself is risky: wallets, browser password stores, offensive security. Even an honest implementation gives the agent access to things that cost money.

For the author

Explain in the description why the access is needed and how it is limited; add tests that show refusals on dangerous requests.

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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • medium Risky intent intent-wallet-secrets references/meme-engine.md:82
      Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target
      - losing seed phrase

    Files scanned: 11. 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 65/100

    • 30Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 2 mutating operations with no state check
    • 40Consistency. Frontmatter name (solana-growth-operator) differs from the folder (x-viral-tweets-for-sol)
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 70Failures and branches. 10 branches
    • 100Steps. 44 steps
    • 100Execution cost. Instruction body is 2532 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 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

    • +4Description does not say when NOT to use the skill (false activations)
    • -213 emoji in the instructions: noise for the model
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 5 example trigger phrases
    • +3Description length 726: enough signal without eating the budget
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 44 items
    • +3Output format is stated explicitly
    • +4Has examples (3 code blocks)
    • +4Reference files are cited in the instructions (6 of 6)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 94.

    External checks

    ClawHub: clean
    This markdown-only Solana/X content strategy skill has broad activation language, but it does not install code, access credentials, post automatically, or handle funds.
    LLM: benign (high) · 28 May 2026