AB messari-crypto
Crypto market intelligence powered by Messari's REST API. Provides real-time access to Messari AI (chat completions over 30TB+ crypto data), Signal (sentiment, mindshare, trending narratives), Metrics (prices, volumes, fundamentals for 34,000+ assets across 210+ exchanges), News, Research, Stablecoins, Exchanges, Networks, Protocols, Token Unlocks, Fundraising, Intel, Topics, and X-Users data. Use when the user asks about crypto markets, token analysis, sentiment, protocol metrics, asset research, trending narratives, stablecoin flows, token unlock schedules, fundraising rounds, governance events, or any blockchain/crypto data question. Requires a Messari API key and Messari AI credits.
As a process B 67/100 · Nearly there — weak spots: result and completion, failures and branches, progress reporting
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 · 0
✓ No critical or high findings
Files scanned: 3. 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 67/100
- 0Result and completion. Does not say what the result is
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 70When it triggers. States when to use, but not when not to
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Tools and files. No external tools needed
- 100Steps. 6 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 941 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)
- +1No license
- +2Single-language instructions
- +3Description length 695: enough signal without eating the budget
- +4Structure: 16 headings
- +3Step-by-step instructions: 6 items
- +3Output format is stated explicitly
- +4Has examples (5 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.