CC veritier
Agent Trust Gate for tool calls. Agents should not act without a gate and evidence. attest_action looks the action up in a system of record - npm, PyPI, CourtListener, SEC EDGAR, the U.S. Code, or a policy corpus you supply - and blocks the call if the record isn't there. Each decision is a reconstructable, revocable Ed25519-signed workpaper (Claim Credential), not a certificate of truth. Also extracts and verifies claims and scans documents. Connects over MCP Streamable HTTP, so there is nothing to install.
Agent Trust Gate for tool calls.
As a process C 63/100 · Has gaps — weak spots: inputs and preconditions, consistency, execution cost
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.
- 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 · 21
✓ No critical or high findings
Medium and low: 21
-
medium Exfiltration
net-redirectable-api-keyjavascript/quickstart/test_integration.mjs:15Helper sends the API key to a host configured by an environment variable — the key can be redirected to another serverAPI key + configurable base URL from environment
-
medium Exfiltration
net-credential-usejavascript/use-cases/informational_credential.mjs:55Credential used in a network call (verify the destination is the intended service)const pub = await fetch(`${API_URL}/v1/credentials/${cred.id}`); -
medium Exfiltration
exfil-send-secrets-to-urlSKILL.md:56Instruction to send secrets/history to an external endpoint ("only send to …" — scoping, not exfiltration; documentation of a security skill; the skill's own vendor host)🔒 **SECURITY:** Only send your API key to `https://api.veritier.ai` - never to any other domain.
scopedsecurity skillvendor-host -
medium Exfiltration
exfil-send-secrets-to-urlSKILL.md:590Instruction to send secrets/history to an external endpoint ("only send to …" — scoping, not exfiltration; documentation of a security skill; the skill's own vendor host)- Only send your API key to `https://api.veritier.ai`
scopedsecurity skillvendor-host -
low Secrets in code
secret-high-entropy-tokenjavascript/package-lock.json:22High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…GLi+2W/6ao+6Y7gu/RCwR…Kng==",
detector -
low Secrets in code
secret-high-entropy-tokenjavascript/package-lock.json:137High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…GLw+xYSd…cqA==",
detector -
low Secrets in code
secret-high-entropy-tokenjavascript/package-lock.json:204High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…FrF+LTRo…W3g==",
detector -
low Secrets in code
secret-high-entropy-tokenjavascript/package-lock.json:213High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…A6j+hAmM…GbS+kf5c…csw==",
detector -
low Secrets in code
secret-high-entropy-tokenjavascript/package-lock.json:222High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…5bm+c2gQ…aG5+esrLODihIorn+Pe6F…dXA==",
detector -
low Exfiltration
read-dotenvjavascript/quickstart/extract_text.mjs:9Reads a .env file (code comment)* 2. cp .env.example .env (then add your API key)
comment -
low Exfiltration
net-credential-usejavascript/quickstart/reconstruct_credential.mjs:34Credential used in a network call (verify the destination is the intended service) (documentation of a security skill)const pub = await fetch(`${API_URL}/v1/credentials/${credId}`);security skill -
low Exfiltration
net-credential-usejavascript/quickstart/reconstruct_credential.mjs:61Credential used in a network call (verify the destination is the intended service) (documentation of a security skill)const revoked = await fetch(`${API_URL}/v1/credentials/${credId}/revoke`, {security skill -
low Exfiltration
read-dotenvjavascript/quickstart/verify_text.mjs:9Reads a .env file (code comment)* 2. cp .env.example .env (then add your API key)
comment -
low Exfiltration
read-dotenvjavascript/README.md:16Reads a .env file (documentation of a security skill)cp ../.env.example .env
security skill -
low Exfiltration
read-dotenvpython/quickstart/attest_action.py:15Reads a .env file (test fixture / example file; quoted — discussed, not commanded)2. cp .env.example .env (then add your API key)
fixturequoted -
low Exfiltration
read-dotenvpython/quickstart/extract_text.py:10Reads a .env file (quoted — discussed, not commanded)2. cp .env.example .env (then add your API key)
quoted -
low Exfiltration
read-dotenvpython/quickstart/test_integration.py:11Reads a .env file (test fixture / example file; quoted — discussed, not commanded)3. cp .env.example .env and set VERITIER_TEST_KEY=vt_test_...
fixturequoted -
low Exfiltration
read-dotenvpython/quickstart/validate_document.py:9Reads a .env file (quoted — discussed, not commanded)2. cp .env.example .env (then add your API key)
quoted -
low Exfiltration
read-dotenvpython/quickstart/verify_text.py:9Reads a .env file (quoted — discussed, not commanded)2. cp .env.example .env (then add your API key)
quoted -
low Exfiltration
read-dotenvpython/README.md:16Reads a .env file (documentation of a security skill)cp ../.env.example .env
security skill -
low Exfiltration
read-dotenvREADME.md:215Reads a .env file (documentation of a security skill)cp .env.example .env
security skill
Files scanned: 42. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 8033 tokens (recommended < 5000); move details to references/ - note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 63/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 30Running it twice. 20 mutating operations with no state check
- 40Consistency. Frontmatter name (veritier) differs from the folder (veritier-fact-checking)
- 40Execution cost. Instruction body is 8033 tokens: crowds the task out of the window
- 60Tools and files. Uses tools (web, python) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 85Steps. 44 steps, 1 vague phrases
- 100When it triggers. States when to use and when not to
- 100Failures and branches. 1 branches, has a failure section
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 11 top-level sections: this looks like several domains in one skill
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)
- -229 emoji in the instructions: noise for the model
- +2Single-language instructions
- +3Description length 513: enough signal without eating the budget
- +4Structure: 40 headings
- +3Step-by-step instructions: 44 items
- +3Output format is stated explicitly
- +4Has examples (16 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.