Quality Control Standards

SkillAI & models

Peer review checklist and quality standards for intelligence products. Loaded by the quality-reviewer agent.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Quality Control Standards skill

What this skill tells your AI

The instructions your AI receives, as published by liberty91ltd/cti-skills in skills/quality-control/SKILL.md and read by ahel’s review.

Review Process

  1. All products must be reviewed before moving to "published" status
  2. Reviews are performed by the quality-reviewer agent
  3. Products with CRITICAL issues are returned for revision
  4. Products with 3+ MAJOR issues are returned for revision
  5. MINOR issues are noted but don't block publication

Peer Review Checklist

A. Structural Integrity (Weight: 15%)

  • Correct product template used
  • Complete frontmatter (all required fields)
  • TLP marking present and correctly applied
  • Logical section ordering
  • Appropriate length for product type

B. Analytical Rigor (Weight: 30%)

  • Conclusions supported by evidence
  • Key assumptions explicitly identified
  • Alternative hypotheses considered (where applicable)
  • Structured analytic techniques applied appropriately
  • No logical leaps or unsupported assertions
  • Temporal scope specified for all predictions
  • Intelligence gaps acknowledged

C. Sourcing (Weight: 20%)

  • All sources assessed with Admiralty Scale
  • Source ratings justified and reasonable
  • Source diversity (not single-source unless noted)
  • Derivative vs independent sources distinguished
  • No unattributed claims

D. Mandated Language (Weight: 20%)

  • Confidence levels on all assessments (with rationale)
  • Likelihood language on all predictions (with percentage ranges)
  • No hedge-stacking
  • No vague probabilistic language without probability band
  • Confidence and likelihood not conflated
  • Facts clearly distinguished from assessments

E. Technical Accuracy (Weight: 10%)

  • MITRE ATT&CK mappings correct
  • IOCs properly formatted and validated
  • Technical claims verifiable
  • No contradictions with known intelligence

F. Writing Quality (Weight: 5%)

  • BLUF in first paragraph
  • Active voice
  • Specific language (dates, numbers, names)
  • No unnecessary jargon
  • Clear, concise sentences

Scoring

Calculate weighted score (0-10):

  • Each section: 0 (none met) to 10 (all met)
  • Weighted by percentages above
  • Final score = weighted average
ScoreVerdict
8-10Approved — publish
6-7Approved with minor revisions — can publish after fixes
4-5Revision required — significant issues
0-3Rejected — fundamental problems

Issue Severity

  • CRITICAL: Factual error in key finding, missing TLP on sensitive content, unsupported primary conclusion, potential harm if published as-is
  • MAJOR: Missing confidence level on assessment, vague likelihood language on prediction, missing source assessment on key evidence, logical flaw in reasoning, missing key section
  • MINOR: Grammar/formatting, style inconsistency, minor Admiralty rating disagreement, non-essential section could be improved

Signals

GitHub stars
22
Forks
9
Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
quality-control
Source
github.com/liberty91ltd/cti-skills