nda-triage（NDA 分类）

⚠️ EXPERIMENTAL — This skill is provided for educational and informational purposes only. It does NOT constitute legal advice. All responsibility for usage rests with the user. Consult qualified legal professionals before acting on any output.

NDA Triage

Rapid NDA screening tool that classifies incoming NDAs as GREEN (standard approval), YELLOW (counsel review), or RED (significant issues). Uses a 10-point screening checklist to evaluate agreement structure, definitions, obligations, carveouts, and problematic provisions.

Table of Contents

• Tools

- NDA Screener - NDA Checklist

• Reference Guides
• Workflows

- Standard NDA Triage - Bulk NDA Processing

• Routing Recommendations
• Troubleshooting
• Success Criteria
• Scope & Limitations
• Anti-Patterns
• Tool Reference

Tools

NDA Screener

Scans NDA text for red flags and outputs GREEN/YELLOW/RED classification with reasoning.

# Screen an NDA file
python scripts/nda_screener.py nda_draft.txt

# JSON output for integration
python scripts/nda_screener.py incoming_nda.md --json

# Save screening results
python scripts/nda_screener.py nda_draft.txt --output screening.json --json

What it detects:

• Missing standard carveouts (public knowledge, prior possession, independent development, third-party receipt, legal compulsion)
• Non-solicitation and non-compete clauses
• Perpetual confidentiality obligations
• Overbroad definition of confidential information
• Residuals clauses granting usage rights to ideas/concepts
• IP assignment or license grants
• Liquidated damages provisions
• Unlimited audit rights
• One-sided obligations

Classification Rules:

NDA Checklist

Generates a compliance checklist for an NDA, checking all 10 screening criteria with pass/fail status.

# Generate checklist for an NDA
python scripts/nda_checklist.py nda_draft.txt

# JSON output
python scripts/nda_checklist.py nda_draft.txt --json

# Save checklist
python scripts/nda_checklist.py nda_draft.txt --output checklist.json --json

10-Point Screening Criteria:

Reference Guides

NDA Screening Criteria

references/nda_screening_criteria.md

Complete evaluation reference covering:

• All 10 screening criteria with detailed sub-items
• GREEN/YELLOW/RED classification rules with specific examples
• Common NDA issues with standard positions
• Redline approaches for common problems

Workflows

Standard NDA Triage

1. Receive NDA -- Save as .txt or .md file
2. Screen -- Run nda_screener.py for quick RED/YELLOW/GREEN classification
3. Checklist -- Run nda_checklist.py for detailed 10-point evaluation
4. Route -- Follow routing recommendations based on classification
5. Track -- Log screening result and routing decision

Bulk NDA Processing

# Screen multiple NDAs
for nda in ndas/*.txt; do
  echo "=== $nda ==="
  python scripts/nda_screener.py "$nda"
  echo ""
done

# Generate JSON report for all NDAs
for nda in ndas/*.txt; do
  python scripts/nda_screener.py "$nda" --json --output "results/$(basename $nda .txt).json"
done

Routing Recommendations

GREEN Fast-Track Conditions

All of the following must be true for GREEN classification:

• Mutual NDA (both parties bound)
• All 5 standard carveouts present
• No non-solicitation, non-compete, or exclusivity clauses
• No IP assignment or license grants
• No residuals clause
• Term is 2-5 years (not perpetual)
• Return/destruction obligation present
• Standard remedies (injunctive relief, no liquidated damages)

RED Escalation Triggers

Any one of the following triggers RED classification:

• Non-compete clause of any scope
• Non-solicitation clause covering employees or customers
• IP assignment or broad license grant
• Missing 3 or more standard carveouts
• Perpetual obligations with no termination right
• Liquidated damages for breach
• Exclusivity provision

Troubleshooting

Success Criteria

• NDA triage under 5 minutes: Automated screening replaces 30-minute manual review.
• Zero missed RED-severity issues: Every non-compete, IP assignment, and missing carveout is flagged.
• GREEN NDAs signed within 24 hours: Fast-track routing eliminates bottleneck for standard agreements.
• YELLOW NDAs resolved within 48 hours: Counsel review turnaround meets SLA.
• Consistent classification across reviewers: 10-point checklist eliminates subjective "looks fine" approvals.
• 100% of NDAs screened before routing: No NDA reaches an approver without automated triage.

Scope & Limitations

Covers:

• Pattern-based screening of NDA text for structural issues and problematic provisions
• 10-point compliance checklist against standard NDA requirements
• GREEN/YELLOW/RED classification with routing recommendations
• Detection of non-solicitation, non-compete, IP assignment, residuals, and other problematic clauses
• Missing carveout identification

Does NOT cover:

• Legal advice -- classification is a screening aid, not a legal opinion
• Negotiation or redlining -- use nda-review for deep clause analysis and redline generation
• Multi-party NDAs -- optimized for bilateral (two-party) agreements
• Industry-specific NDA requirements (healthcare, defense, government) -- patterns target commercial NDAs
• Non-English NDAs -- pattern matching is English-language only

Anti-Patterns

Tool Reference

nda_screener.py

Purpose: Scans NDA text for red flags and problematic provisions. Outputs GREEN/YELLOW/RED classification with detailed reasoning.

Usage:

python scripts/nda_screener.py <nda_file> [--json] [--output FILE]

Flags:

Example Output (JSON):

{
  "file": "vendor_nda.txt",
  "classification": "YELLOW",
  "red_flags": [
    {
      "id": "missing_carveout_independent_development",
      "severity": "YELLOW",
      "description": "Missing independent development carveout",
      "recommendation": "Add standard independent development exception"
    }
  ],
  "carveouts": {
    "public_knowledge": true,
    "prior_possession": true,
    "independent_development": false,
    "third_party_receipt": true,
    "legal_compulsion": true
  },
  "summary": "1 missing carveout; no critical issues. Route to counsel for review."
}

nda_checklist.py

Purpose: Generates a 10-point compliance checklist for an NDA, evaluating each screening criterion as PASS/FAIL with notes.

Usage:

python scripts/nda_checklist.py <nda_file> [--json] [--output FILE]

Flags:

Example Output:

NDA COMPLIANCE CHECKLIST
========================
File: vendor_nda.txt
Overall: YELLOW (8/10 PASS)

 #  Criterion                    Status  Notes
 1  Agreement Structure          PASS    Mutual NDA; both parties identified
 2  Definition of Confidential   PASS    Reasonably scoped with marking requirement
 3  Obligations                  PASS    Standard of care; use restrictions present
 4  Standard Carveouts           FAIL    Missing: independent development
 5  Permitted Disclosures        PASS    Representatives and advisors covered
 6  Term & Duration              PASS    3-year term with 2-year survival
 7  Return/Destruction           PASS    Return or destroy within 30 days
 8  Remedies                     PASS    Injunctive relief; no liquidated damages
 9  Problematic Provisions       FAIL    Residuals clause detected
10  Governing Law                PASS    Delaware law; state courts