SKILLEMALL.ai

CC bags

Bags - The Solana launchpad for humans and AI agents. Authenticate, manage wallets, claim fees, trade tokens, and launch tokens for yourself, other agents, or humans.

ClawHub Agent Skills author: ramyonsn v2.0.0 10 files body ≈ 2 382 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
C
73/100
safety, quality, tests
Safety 60%
75
Quality 40%
71
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
When it triggers w 12
20
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: bags (ClawHub)

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.

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. 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 · 17

✓ No critical or high findings

Medium and low: 17
  • medium Exfiltration net-credential-use fees.md:291
    Credential used in a network call (verify the destination is the intended service)
    claim_with_confirmation "$TOKEN_MINT"
  • medium Broad scope meta-agent-memory-dump heartbeat.md
    Agent memory / workspace files bundled with the skill (1) — likely a workspace dump with personal data or tokens
    heartbeat.md
  • low Secrets in code secret-high-entropy-token fees.md:52
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "baseMint": "Toke…111",
    quoted
  • low Secrets in code secret-high-entropy-token launch.md:74
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "tokenMint": "NewT…111",
    quoted
  • low Secrets in code secret-high-entropy-token launch.md:101
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    BAGS_TOKEN_MINT="NewT…111"
    quoted
  • low Secrets in code secret-high-entropy-token launch.md:129
    High-entropy token-like string (may be an id, hash or a credential)
    {\"user\": \"Wall…222\", \"userBps\": 3000},
  • low Secrets in code secret-high-entropy-token launch.md:130
    High-entropy token-like string (may be an id, hash or a credential)
    {\"user\": \"Wall…333\", \"userBps\": 2000}
  • low Secrets in code secret-high-entropy-token launch.md:140
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "configKey": "Conf…111",
    quoted
  • low Secrets in code secret-high-entropy-token trading.md:27
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | SOL (Wrapped) | `So11…112` |
    table
  • low Secrets in code secret-high-entropy-token trading.md:28
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | USDC | `EPjF…t1v` |
    table
  • low Secrets in code secret-high-entropy-token trading.md:29
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | USDT | `Es9v…NYB` |
    table
  • low Secrets in code secret-high-entropy-token trading.md:38
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    BAGS_INPUT_MINT="So11…112"
    quoted
  • low Secrets in code secret-high-entropy-token trading.md:39
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    BAGS_OUTPUT_MINT="EPjF…t1v"
    quoted
  • low Secrets in code secret-high-entropy-token wallets.md:36
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "7xKX…AsU",
    quoted
  • low Secrets in code secret-high-entropy-token wallets.md:37
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "9aE8…2Lx"
    quoted
  • low Secrets in code secret-high-entropy-token wallets.md:61
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    BAGS_WALLET_ADDRESS="7xKX…AsU"
    quoted
  • low Secrets in code secret-high-entropy-token wallets.md:327
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    BAGS_WALLET_ADDRESS="7xKX…AsU"
    quoted

Files scanned: 10. 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 frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 56/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (bags) differs from the folder (testing-sagb)
  • 55Failures and branches. 1 branches
  • 100Tools and files. No external tools needed
  • 100Steps. 29 steps
  • 100Execution cost. Instruction body is 2382 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 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 166: enough signal without eating the budget
  • +4Structure: 24 headings
  • +3Step-by-step instructions: 29 items
  • +4Has examples (10 code blocks)

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

External checks

ClawHub: suspicious
This Bags skill fits a real DeFi workflow, but it gives agents broad financial authority, handles wallet secrets unsafely, and can silently replace its own instructions from remote files.
LLM: suspicious (high) · VirusTotal: suspicious · 10 Sept 2026