Pre-ingestion verification for epistemic quality in RAG systems. Ensures documents are properly qualified before entering knowledge bases. Produces CGD (Clarity-Gated Documents) and validates SOT (Source of Truth) files.
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name
clarity-gate
version
2.1.3
description
Pre-ingestion verification for epistemic quality in RAG systems. Ensures documents are properly qualified before entering knowledge bases. Produces CGD (Clarity-Gated Documents) and validates SOT (Source of Truth) files.
author
Francesco Marinoni Moretto
license
CC-BY-4.0
repository
https://github.com/frmoretto/clarity-gate
triggers
["clarity gate","check for hallucination risks","can an LLM read this safely","review for equivocation","verify document clarity","pre-ingestion check","cgd verify","sot verify"]
Purpose: Pre-ingestion verification system that enforces epistemic quality before documents enter RAG knowledge bases. Produces Clarity-Gated Documents (CGD) compliant with the Clarity Gate Format Specification v2.1.
Core Question: "If another LLM reads this document, will it mistake assumptions for facts?"
Core Principle:"Detection finds what is; enforcement ensures what should be. In practice: find the missing uncertainty markers before they become confident hallucinations."
What's New in v2.1
Feature
Description
Claim Completion Status
PENDING/VERIFIED determined by field presence (no explicit status field)
Source Field Semantics
Actionable source (PENDING) vs. what-was-found (VERIFIED)
Claim ID Format Guidance
Hash-based IDs preferred, collision analysis for scale
Body Structure Requirements
HITL Verification Record section mandatory when claims exist
Note: v2.0 unifies CGD and SOT into a single .cgd.md format. SOT is now a CGD with an optional tier: block.
Validation Codes
Clarity Gate defines validation codes for structural and semantic checks per FORMAT_SPEC v2.1:
HITL Claim Validation (§1.3.2-1.3.3)
Code
Check
Severity
W-HC01
Partial confirmed-by/confirmed-date fields
WARNING
W-HC02
Vague source (e.g., "industry reports", "TBD")
WARNING
E-SC06
Schema error in hitl-claims structure
ERROR
Body Structure (§1.2.1)
Code
Check
Severity
E-ST10
Missing ## HITL Verification Record when claims exist
ERROR
W-ST11
Table rows don't match hitl-claims count
WARNING
SOT Table Validation (§3.1)
Code
Check
Severity
E-TB01
No ## Verified Claims section
ERROR
E-TB02
Table has no data rows
ERROR
E-TB03
Required columns missing
ERROR
E-TB04
Column order wrong
ERROR
E-TB05
Empty cell in required column
ERROR
E-TB06
Invalid date format in Verified column
ERROR
E-TB07
Verified date in future (beyond 24h grace)
ERROR
Note: Additional validation codes may be defined in RFC-001 (clarification document) but are not part of the normative FORMAT_SPEC.
Bundled Scripts
This skill includes Python scripts for deterministic computations per FORMAT_SPEC.
scripts/claim_id.py
Computes stable, hash-based claim IDs for HITL tracking (per §1.3.4).
# Generate claim ID
python scripts/claim_id.py "Base price is $99/mo""api-pricing/1"# Output: claim-75fb137a# Run test vectors
python scripts/claim_id.py --test
Algorithm:
Normalize text (strip + collapse whitespace)
Concatenate with location using pipe delimiter
SHA-256 hash, take first 8 hex chars
Prefix with "claim-"
Test vectors:
claim_id("Base price is $99/mo", "api-pricing/1") → claim-75fb137a
claim_id("The API supports GraphQL", "features/1") → claim-eb357742
scripts/document_hash.py
Computes document SHA-256 hash per FORMAT_SPEC §2.2-2.4 with full canonicalization.
Extract content between opening ---\n and <!-- CLARITY_GATE_END -->
Remove document-sha256 line from YAML frontmatter ONLY (with multiline continuation support)
Canonicalize:
Strip trailing whitespace per line
Collapse 3+ consecutive newlines to 2
Normalize final newline (exactly 1 LF)
UTF-8 NFC normalization
Compute SHA-256
Cross-platform normalization:
BOM removed if present
CRLF to LF (Windows)
CR to LF (old Mac)
Boundary detection (prevents hash computation on content outside CGD structure)
Whitespace variations produce identical hashes (deterministic across platforms)
The Key Distinction
Existing tools like UnScientify and HedgeHunter (CoNLL-2010) detect uncertainty markers already present in text ("Is uncertainty expressed?").
Clarity Gate enforces their presence where epistemically required ("Should uncertainty be expressed but isn't?").
Tool Type
Question
Example
Detection
"Does this text contain hedges?"
UnScientify/HedgeHunter find "may", "possibly"
Enforcement
"Should this claim be hedged but isn't?"
Clarity Gate flags "Revenue will be $50M"
Critical Limitation
Clarity Gate verifies FORM, not TRUTH.
This skill checks whether claims are properly marked as uncertain—it cannot verify if claims are actually true.
Risk: An LLM can hallucinate facts INTO a document, then "pass" Clarity Gate by adding source markers to false claims.
Solution: HITL (Human-In-The-Loop) verification is MANDATORY before declaring PASS.
When to Use
Before ingesting documents into RAG systems
Before sharing documents with other AI systems
After writing specifications, state docs, or methodology descriptions
When a document contains projections, estimates, or hypotheses
Before publishing claims that haven't been validated
When handing off documentation between LLM sessions
The 9 Verification Points
Relationship to Spec Suite
The 9 Verification Points guide semantic review — content quality checks that require judgment (human or AI). They answer questions like "Should this claim be hedged?" and "Are these numbers consistent?"
Semantic findings (9 points) determine what issues exist
Issues are recorded in CGD state fields (clarity-status, hitl-status, hitl-pending-count)
State consistency is enforced by structural rules (C7-C10)
Example: If Point 5 (Data Consistency) finds conflicting numbers, you'd mark clarity-status: UNCLEAR until resolved. Rule C7 then ensures you can't claim REVIEWED while still UNCLEAR.
Epistemic Checks (Core Focus: Points 1-4)
1. HYPOTHESIS vs FACT LABELING
Every claim must be clearly marked as validated or hypothetical.
Fails
Passes
"Our architecture outperforms competitors"
"Our architecture outperforms competitors [benchmark data in Table 3]"
"The model achieves 40% improvement"
"The model achieves 40% improvement [measured on dataset X]"
---clarity-gate-version:2.1processed-date:2026-01-12processed-by:Claude+HumanReviewclarity-status:CLEARhitl-status:REVIEWEDhitl-pending-count:0points-passed:1-9rag-ingestable:true# computed by validator - do not set manuallydocument-sha256:7d865e959b2466918c9863afca942d0fb89d7c9ac0c99bafc3749504ded97730hitl-claims:-id:claim-75fb137atext:"Revenue projection is $50M"value:"$50M"source:"Q3 planning doc"location:"revenue-projections/1"round:Bconfirmed-by:Francescoconfirmed-date:2026-01-12---
# Document Title
[Documentbodywithepistemicmarkersapplied]
Claimslike"Revenue will be $50M"become"Revenue is **projected** to be $50M *(unverified projection)*"---
## HITL Verification Record### Round A: Derived Data Confirmation-Claim1(source)✓-Claim2(source)✓### Round B: True HITL Verification|# | Claim | Status | Verified By | Date ||---|-------|--------|-------------|------||1| [claim] |✓Confirmed| [name] | [date] |<!--CLARITY_GATE_END-->Clarity Gate:CLEAR|REVIEWED
Required CGD Elements (per spec):
YAML frontmatter with all required fields:
clarity-gate-version — Tool version (no "v" prefix)
processed-date — YYYY-MM-DD format
processed-by — Processor name
clarity-status — CLEAR or UNCLEAR
hitl-status — PENDING, REVIEWED, or REVIEWED_WITH_EXCEPTIONS
hitl-pending-count — Integer ≥ 0
points-passed — e.g., 1-9 or 1-4,7,9
hitl-claims — List of verified claims (may be empty [])
