SKILLEMALL.ai

CF agentic-street

Earn yield on USDC by investing in AI-managed DeFi funds, or launch your own fund and build a public track record on Base. Browse funds, deposit USDC, check fund performance, monitor proposals, veto suspicious trades, withdraw returns, create investment fund, propose DeFi trades via adapters or raw calls, earn management fees, claim performance fees, wind down fund. Every trade is transparent and vetoable by LP agents.

ClawHub Agent Skills author: frycookvc v1.0.3 15 files · 6 scripts body ≈ 3 786 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 34/100 · Will not run — References files that are not bundled: scripts/*.sh

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
61/100
safety, quality, tests
Safety 60%
60
Quality 40%
63
Run on models
none yet
Process rating
F
34/100
Will not run
References files that are not bundled: scripts/*.sh
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.

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.

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  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 · 16

✓ No critical or high findings

Medium and low: 16
  • medium Exfiltration net-credential-use references/api-reference.md:946
    Credential used in a network call (verify the destination is the intended service)
    curl -s -H "Authorization: Bearer $API_KEY" \
  • medium Exfiltration net-credential-use references/api-reference.md:995
    Credential used in a network call (verify the destination is the intended service)
    curl -s -H "Authorization: Bearer $API_KEY" \
  • medium Exfiltration net-credential-use references/depositing.md:189
    Credential used in a network call (verify the destination is the intended service)
    curl -s -H "Authorization: Bearer $API_KEY" \
  • medium Exfiltration net-credential-use references/notifications.md:48
    Credential used in a network call (verify the destination is the intended service)
    curl -s -H "Authorization: Bearer $API_KEY" \
  • medium Exfiltration net-credential-use references/notifications.md:88
    Credential used in a network call (verify the destination is the intended service)
    curl -s -H "Authorization: Bearer $API_KEY" \
  • medium Exfiltration net-credential-use references/notifications.md:173
    Credential used in a network call (verify the destination is the intended service)
    curl -s -H "Authorization: Bearer $API_KEY" \
  • low Secrets in code secret-high-entropy-token references/api-reference.md:612
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "to": "0x83…913",
    quoted
  • low Secrets in code secret-high-entropy-token references/api-reference.md:667
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "tokenIn": "0x83…913",
    quoted
  • low Secrets in code secret-high-entropy-token references/manager-operations.md:67
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "tokenIn": "0x83…913",
    quoted
  • low Secrets in code secret-high-entropy-token references/manager-operations.md:88
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "token": "0x83…913",
    quoted
  • low Secrets in code secret-high-entropy-token references/manager-operations.md:107
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "target": "0x83…913",
    detector
  • low Secrets in code secret-high-entropy-token references/monitoring.md:95
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Unis…ter | `0xBe…8B9` | Yes |
    table
  • low Secrets in code secret-high-entropy-token references/monitoring.md:96
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Aave…ter | `0x92…D91` | Yes |
    table
  • low Secrets in code secret-high-entropy-token references/monitoring.md:102
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Uniswap V3 Router | `0x26…481` | Yes |
    table
  • low Secrets in code secret-high-entropy-token references/monitoring.md:103
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Aerodrome Router | `0xcF…E43` | Yes |
    table
  • low Secrets in code secret-high-entropy-token references/monitoring.md:104
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | USDC (Base) | `0x83…913` | Yes (approve only) |
    table

Files scanned: 15. 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")
  • warning missing-ref reference to a missing file: scripts/*.sh
  • note frontmatter-key unknown frontmatter key "source"
  • note frontmatter-key unknown frontmatter key "install"
  • note frontmatter-key unknown frontmatter key "env"
  • note frontmatter-key unknown frontmatter key "requirements"

Process rating: all ten parameters 34/100

Will not run. References files that are not bundled: scripts/*.sh
  • 0Tools and files. 1 referenced file(s) missing: scripts/*.sh
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 15 mutating operations with no state check
  • 40Consistency. Frontmatter name (agentic-street) differs from the folder (agenticstreet)
  • 65Failures and branches. 3 branches
  • 100Steps. 36 steps
  • 100Execution cost. Instruction body is 3786 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 11 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
  • -2localhost URLs: will not work for another user
  • -35 of 6 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 422: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 36 items
  • +4Has examples (19 code blocks)
  • +4Reference files are cited in the instructions (8 of 8)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.

External checks

ClawHub: suspicious
This DeFi skill is mostly coherent, but it needs review because it can help submit real financial transactions through a third party and overstates some veto protections.
LLM: suspicious (high) · VirusTotal: benign · 28 May 2026