AD tellermcp-mcp
Expose the Teller delta-neutral + lending Model Context Protocol server. Use this when you need to install, run, or update the Tellermcp MCP backend so agents can fetch opportunities, borrow terms, and on-chain tx builders for Teller.
As a process D 45/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches
The same skill appears in 3 more places: ClawHub, ClawHub, ClawHub
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 · 5
✓ No critical or high findings
Medium and low: 5
-
low Secrets in code
secret-high-entropy-tokenscripts/tellermcp-server/package-lock.json:24High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…7pY+zoMV…h0x/Ptw8…8dg==",
detector -
low Secrets in code
secret-high-entropy-tokenscripts/tellermcp-server/package-lock.json:41High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…b00+Gxjx…zRc/oZwU…hzA==",
detector -
low Secrets in code
secret-high-entropy-tokenscripts/tellermcp-server/package-lock.json:109High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha512-vHk/hA7/1Ack…wbo+jaSh…Gtl+A5zq…HFg==",
detector -
low Secrets in code
secret-high-entropy-tokenscripts/tellermcp-server/package-lock.json:143High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…Dsc+j03S…0oA==",
detector -
low Secrets in code
secret-high-entropy-tokenscripts/tellermcp-server/package-lock.json:432High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…NS8+tHW7…WOF+PEzk…X4Q==",
detector
Files scanned: 10. 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 45/100
- 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
- 30Running it twice. 4 mutating operations with no state check
- 40Consistency. Frontmatter name (tellermcp-mcp) differs from the folder (teller-borrow)
- 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
- 70When it triggers. States when to use, but not when not to
- 100Steps. 28 steps
- 100Execution cost. Instruction body is 738 tokens
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 234: enough signal without eating the budget
- +4Structure: 11 headings
- +3Step-by-step instructions: 28 items
- +4Has examples (3 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.