BD unifai-trading-suite
AI-powered trading insights suite: prediction markets (Polymarket/Kalshi) and social sentiment signals powered by UnifAI.
AI-powered trading insights suite: prediction markets (Polymarket/Kalshi) and social sentiment signals powered by UnifAI.
As a process D 38/100 · Unfinished process — weak spots: steps, result and completion, when it triggers
How to improve
- 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
-
low Secrets in code
secret-high-entropy-tokenCLAUDE.md:253High-entropy token-like string (may be an id, hash or a credential) (documentation table row)| `Bird…ice` | Token prices on Solana, Ethereum, BSC, etc. |
table -
low Secrets in code
secret-high-entropy-tokenCLAUDE.md:254High-entropy token-like string (may be an id, hash or a credential) (documentation table row)| `Toke…ken` | Comprehensive analysis with social metrics |
table -
low Secrets in code
secret-high-entropy-tokenCLAUDE.md:258High-entropy token-like string (may be an id, hash or a credential) (documentation table row)| `poly…ory` | Prediction market events |
table -
low Secrets in code
secret-high-entropy-tokenCLAUDE.md:305High-entropy token-like string (may be an id, hash or a credential) (documentation table row)| `poly…ets` | Filter markets with options |
table -
low Secrets in code
secret-high-entropy-tokenCLAUDE.md:306High-entropy token-like string (may be an id, hash or a credential) (documentation table row)| `poly…nts` | Search events with filters |
table -
low Secrets in code
secret-high-entropy-tokensrc/agents/trading_agent.py:54High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)- `poly…ory`: Get trending, politics, crypto, etc.
quoted -
low Secrets in code
secret-high-entropy-tokensrc/agents/trading_agent.py:55High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)- `poly…ets`: Filter markets
quoted -
low Secrets in code
secret-high-entropy-tokensrc/agents/trading_agent.py:60High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)- `Toke…ken`: Token analysis with social metrics
quoted -
low Secrets in code
secret-high-entropy-tokensrc/agents/trading_agent.py:250High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"poly…ory",
quoted -
low Secrets in code
secret-high-entropy-tokensrc/agents/trading_agent.py:282High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"poly…ory",
quoted -
low Secrets in code
secret-high-entropy-tokensrc/markets/polymarket.py:8High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)- poly…ets
quoted -
low Secrets in code
secret-high-entropy-tokensrc/markets/polymarket.py:9High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)- poly…nts
quoted -
low Secrets in code
secret-high-entropy-tokensrc/markets/polymarket.py:10High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)- poly…ory
quoted -
low Secrets in code
secret-high-entropy-tokensrc/markets/polymarket.py:12High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)- poly…oks
quoted -
low Secrets in code
secret-high-entropy-tokensrc/markets/polymarket.py:158High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"poly…ory",
quoted -
low Secrets in code
secret-high-entropy-tokensrc/signals/social.py:4High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)- Toke…en: Token analysis with social metrics
quoted -
low Secrets in code
secret-high-entropy-tokensrc/signals/social.py:6High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)- Twit…ne: Get user's tweet timeline
quoted
Files scanned: 24. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 38/100
- 0Steps. Prose only: no discrete steps
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 100Tools and files. No external tools needed
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 203 tokens
- 100Running it twice. No mutating operations
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)
- +3No numbered steps or checklist
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 121: enough signal without eating the budget
- +4Structure: 7 headings
- +4Has examples (4 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.