CF sentisense
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US stock market data API for AI agents: news and social sentiment, the SentiSense Score, the SentiSense Rating daily A to F letter grade, insider Form 4…
As a process F 33/100 · Will not run — References files that are not bundled: url
What is at stake
Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
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".
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
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- The text references files that are not there: add them or drop the references.
- 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
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medium Exfiltration
net-credential-useSKILL.md:40Credential used in a network call (verify the destination is the intended service)curl -H "X-SentiSense-API-Key: $SENTISENSE_API_KEY" \
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medium Exfiltration
net-credential-useSKILL.md:197Credential used in a network call (verify the destination is the intended service)curl -H "X-SentiSense-API-Key: $SENTISENSE_API_KEY" \
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medium Exfiltration
net-credential-useSKILL.md:1275Credential used in a network call (verify the destination is the intended service)curl -s -H "X-SentiSense-API-Key: $SENTISENSE_API_KEY" \
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medium Exfiltration
net-credential-useSKILL.md:1280Credential used in a network call (verify the destination is the intended service)curl -s -H "X-SentiSense-API-Key: $SENTISENSE_API_KEY" \
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medium Exfiltration
net-credential-useSKILL.md:1388Credential used in a network call (verify the destination is the intended service)curl -H "X-SentiSense-API-Key: $SENTISENSE_API_KEY" \
Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 43941 tokens (recommended < 5000); move details to references/ - warning
missing-refreference to a missing file: url - note
frontmatter-keyunknown frontmatter key "homepage" - note
frontmatter-keyunknown frontmatter key "requires" - note
frontmatter-keyunknown frontmatter key "primaryEnv" - note
edit-residuethe text marks something as outdated (lines 385, 806, 854, 1437, 1484): check that old rules are not kept next to new ones — the full check reads the text for contradictions
Process rating: all ten parameters 33/100
- 0Tools and files. 1 referenced file(s) missing: url
- 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
- 10Execution cost. Instruction body is 43941 tokens: crowds the task out of the window
- 50When it triggers. No condition that starts the skill
- 50Failures and branches. 0 branches, has a failure section
- 60Steps. 87 steps, 6 vague phrases
- 100Consistency. Name and required fields are in place
- 100Running it twice. Mutating operations check current state
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 27 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (8 tags): a typed call is more reliable
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 681: enough signal without eating the budget
- +4Structure: 150 headings
- +3Step-by-step instructions: 87 items
- +4Has examples (29 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.