AF 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.
Integrate SanctifAI Trust Proof-of-Human attestations.
As a process F 51/100 · Will not run — References files that are not bundled: reference.md
The same skill appears in 1 more place: ClawHub
How to improve
- 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
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 51/100
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
- 30Running it twice. 5 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)
- 70When it triggers. States when to use, but not when not to
- 100Steps. 14 steps
- 100Failures and branches. 1 branches, has a failure section
- 100Execution cost. Instruction body is 3181 tokens
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
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 156: enough signal without eating the budget
- +4Structure: 13 headings
- +3Step-by-step instructions: 14 items
- +4Has examples (9 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.
External checks
ClawHub: suspicious
The skill is mostly coherent, but its hosted chat bridge can receive raw task and result data despite prominent privacy claims that only hashes leave the client.
LLM: suspicious (high) · 7 Sept 2026