BF sanctifai-trust-proof-of-human
Integrate SanctifAI Trust Proof-of-Human attestations. Use when an app needs cryptographic proof a human performed a task or human-in-the-loop verification.
As a process F 44/100 · Will not run — References files that are not bundled: reference.md
This is a copy of a skill from another catalog; the rating counts the canonical one: sanctifai-trust-proof-of-human (ClawHub)
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.
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 · 0
✓ No critical or high findings
Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 7513 tokens (recommended < 5000); move details to references/ - warning
missing-refreference to a missing file: reference.md - note
frontmatter-keyunknown frontmatter key "homepage" - note
frontmatter-keyunknown frontmatter key "updated"
Process rating: all ten parameters 44/100
Will not run. References files that are not bundled: reference.md
- 0Tools and files. 1 referenced file(s) missing: reference.md
- 0Inputs and preconditions. Does not say what the process needs to start
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 21 mutating operations with no state check
- 40Result and completion. Does not say what the result is
- 40Consistency. Frontmatter name (sanctifai-trust-proof-of-human) differs from the folder (sanctifai-trust)
- 70Execution cost. Instruction body is 7513 tokens
- 100Steps. 33 steps
- 100Failures and branches. 6 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 14 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)
- +3Output format is not stated: the model decides each time
- -2localhost URLs: will not work for another user
- +1No license
- +2Single-language instructions
- +3Description length 156: enough signal without eating the budget
- +4Structure: 28 headings
- +3Step-by-step instructions: 33 items
- +4Has examples (14 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.
External checks
ClawHub: suspicious
The skill mostly documents a legitimate proof-of-human integration, but its chat-agent path sends raw task and result data to a hosted bridge despite repeated privacy claims that only hashes are transmitted.
LLM: suspicious (high)