BB pumpclaw-agent
Generate customer-ready Telegram polling bots + an Express-style web server that integrate Pump.fun Tokenized Agent payments using @pump-fun/agent-payments-sdk (build invoices, accept payments, and verify invoices on Solana). Use when asked for pump.fun / pumpfun agent integrations, tokenized agent payment flows, invoice verification, or a Telegram+web bot scaffold for Pump Tokenized Agents.
As a process B 66/100 · Nearly there — weak spots: result and completion, when it triggers, running it twice
How to improve
- 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 · 8
✓ No critical or high findings
Medium and low: 8
-
low Secrets in code
secret-high-entropy-tokenassets/template/package-lock.json:60High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…m48+9Ovm…EqH/ti/7ASj…sop+LQ==",
detector -
low Secrets in code
secret-high-entropy-tokenassets/template/package-lock.json:78High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…kJw+JUEz…Ry8+JzNy…KLw==",
detector -
low Secrets in code
secret-high-entropy-tokenassets/template/package-lock.json:140High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"integrity": "sha5…Z8c+xF4WafPK+XzneQDPU+D10r…jX2+qtFF…YgQ==",
quoted -
low Secrets in code
secret-high-entropy-tokenassets/template/package-lock.json:257High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…Zn6+NJLf…Tpc+VU3J…g18/z13mpk1bsA==",
detector -
low Secrets in code
secret-high-entropy-tokenassets/template/package-lock.json:423High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…oJ7+bcFA…ixm+5mH4…Qya/9Bmf…tYQ==",
detector -
low Exfiltration
read-dotenvassets/template/README.md:9Reads a .env filecp .env.example .env
-
low Secrets in code
secret-high-entropy-tokenreferences/PUMP_TOKENIZED_AGENTS.md:20High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)- USDC: `EPjF…t1v`
quoted -
low Secrets in code
secret-high-entropy-tokenreferences/PUMP_TOKENIZED_AGENTS.md:21High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)- wSOL: `So11…112`
quoted
Files scanned: 12. 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 66/100
- 0Result and completion. Does not say what the result is
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 4 mutating operations with no state check
- 55Failures and branches. 1 branches
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Tools and files. No external tools needed
- 100Steps. 23 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 504 tokens
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
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
- +4No input/output examples
- -31 of 1 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 394: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 23 items
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.