SKILLEMALL.ai

BF trustboost-pii-sanitizer

Context-aware PII sanitization for autonomous AI agent pipelines. Sanitizes text before LLMs with 5 context modes (legal/financial/medical/code/general), Privacy Budget per agent, and TrustBoost Score for M2M trust verification. Supports EN, ES (LATAM), PT (BR/PT), DE, JA, FR, IT, KO with country-specific patterns (RFC, CUIT, CPF, CNPJ, Personalausweis, マイナンバー, NIR, Codice Fiscale, 주민등록번호). Returns sanitized text, safety_score (0.0-1.0), risk_category (CRITICAL/PRIVATE/SENSITIVE/CLEAN), and context_applied. No SDK required — single POST request. 50 free requests per wallet with tx_hash="TRIAL".

ClawHub Agent Skills author: teodorofodocrispin-cmyk v2.0.7 MIT-0 2 files body ≈ 3 018 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 33/100 · Will not run — References files that are not bundled: PRIVACY.md

ProcedureAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
86
Quality 40%
82
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: PRIVACY.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Risky intent medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The purpose itself is risky: wallets, browser password stores, offensive security. Even an honest implementation gives the agent access to things that cost money.

For the author

Explain in the description why the access is needed and how it is limited; add tests that show refusals on dangerous requests.

Instruction override medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The text contains phrases like "ignore previous instructions" or "you are now…". That is an attempt to hijack the agent: it may break your rules, the system limits or company policy.

For the author

An honest skill does not need them: state the role and the rules directly without overriding other instructions. Otherwise catalog scanners and corporate filters will block the listing.

How to improve

  1. 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 · 6

✓ No critical or high findings

Medium and low: 6
  • medium Risky intent intent-wallet-secrets SKILL.md:78
    Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target
    2. Agent signs with its OWN wallet private key
  • medium Instruction override en-ignore-previous SKILL.md:401
    Instruction-override phrase ("ignore previous instructions") (detector / deny-list definition)
    - **Prompt injection risk:** Malicious text containing instructions like "Ignore previous instructions" could potentially bypass PII redaction. temperature=0 and strict JSON-only output reduce this ri
    detector
  • low Secrets in code secret-high-entropy-token SKILL.md:103
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    address="giu4…WE4"
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:234
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    `giu4…WE4`
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:280
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "payment_address": "giu4…WE4"
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:306
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "payment_address": "giu4…WE4"
    quoted

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: PRIVACY.md

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: PRIVACY.md
  • 0Tools and files. 1 referenced file(s) missing: PRIVACY.md
  • 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
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 5 mutating operations with no state check
  • 100Steps. 43 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3018 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 19 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)
  • +2Single-language instructions
  • +3Description length 601: enough signal without eating the budget
  • +4Structure: 24 headings
  • +3Step-by-step instructions: 43 items
  • +3Output format is stated explicitly
  • +4Has examples (13 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

External checks

ClawHub: clean
This is a disclosed remote PII-sanitizing API skill with no local executable code, but it sends raw text to a third-party service and supports paid usage.
LLM: benign (high) · VirusTotal: · 17 Jun 2026