Cpd crypto analysis

Skill dasein108/ai-crypto-scoring/.claude/skills/cpd-crypto-analysis

Perform deep due diligence and risk scoring for any crypto project using the CPD framework (Chain, Protocol, Dapp), sometimes referred to as CDP in user requests, plus stage, age, code quality, and incident history. Use when the user asks to evaluate crypto project reliability, compare projects by security/risk posture, produce an evidence-backed CPD report, or calculate CPD percentage/tier from sourced findings.From its SKILL.md

Install

npx -y skills add dasein108/ai-crypto-scoring --skill cpd-crypto-analysis

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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SKILL.md

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CPD Crypto Analysis

Overview

Run evidence-first CPD analysis. Produce reproducible scorecard. Use bundled scripts to generate research prompt, scaffold report, compute scores deterministically.

All paths below are project-root-relative. Skill assets live at .claude/skills/cpd-crypto-analysis/.

Workflow

Collect target metadata.
Run project-state freshness gate (mainnet/testnet/devnet).
Generate project-specific research brief.
Gather verifiable evidence from primary or canonical sources.
Score each CPD block from evidence only.
Compute totals. Produce final recommendation.

Step 1: Collect Target Metadata

Capture before researching:

Project name and ticker
Chain and deployment environment (mainnet/testnet)
Exact protocol/version under review
Exact dapp/interface under review (official UI, fork, aggregator route)

If user does not specify version or interface, mark incomplete. State assumptions in report.

Step 2: Project-State Freshness Gate (Mandatory)

Verify current network state from at least:

one official source (project docs/blog/announcements),
one independent source (major media, explorer, analytics platform).

Use WebFetch / WebSearch tools. Capture in scorecard:

critical_facts.network_status.value — mainnet | testnet | devnet | unknown
critical_facts.network_status.as_of — YYYY-MM-DD
critical_facts.network_status.source_url

Do not score until filled. If sources disagree, use more recent. Flag risk.

Step 3: Generate Research Brief

Generate reusable deep-research prompt:

python3 .claude/skills/cpd-crypto-analysis/scripts/build_cpd_prompt.py \
  --project "Aave" > /tmp/aave_cpd_prompt.md

Stablecoin mode (adds ADP anti-depeg block):

python3 .claude/skills/cpd-crypto-analysis/scripts/build_cpd_prompt.py \
  --project "USDC" --include-adp > /tmp/usdc_cpd_prompt.md

Script loads template at .claude/skills/cpd-crypto-analysis/references/cpd_prompt_template.md.

Step 4: Collect Evidence

Read .claude/skills/cpd-crypto-analysis/references/source_playbook.md to map each criterion to canonical sources. Record per finding:

Source name
URL
Access/check date
One-line evidence note

Prioritize direct sources (official docs, explorers, audit reports, repos). Cross-check secondary sources against ≥1 primary.

Step 5: Fill the Scorecard

Initialize structured scorecard JSON:

python3 .claude/skills/cpd-crypto-analysis/scripts/init_cpd_scorecard.py \
  --project "Aave" --out /tmp/aave_scorecard.json

Stablecoin variant:

python3 .claude/skills/cpd-crypto-analysis/scripts/init_cpd_scorecard.py \
  --project "USDC" --out /tmp/usdc_scorecard.json --enable-adp

Edit JSON with evidence-backed values. Allowed ranges:

cpd.chain_score: 1..3
cpd.protocol_score: 0..2
cpd.dapp_score: -1..1
stage_score: -1..3
age_score: -1..3
code_score: -1..3
incidents_score: -1..3

Step 6: Compute Final Score and Tier

python3 .claude/skills/cpd-crypto-analysis/scripts/score_cpd.py \
  --scorecard /tmp/aave_scorecard.json \
  --format markdown \
  --out /tmp/aave_report.md

Scorer enforces critical-fact freshness. Default: network_status must be present and ≤45 days from analysis_date.

Output:

Block subtotals
Total out of 18
Percentage
Final tier classification
Optional ADP score when present

Reporting Standard

Per criterion include:

Assigned score with concise rationale
Evidence references (URL + checked date)
Critical risk flags when applicable

Conclude with:

Final CPD percentage and tier
Top risk drivers
Recommendation: proceed / proceed with caution / avoid

Final report layout: .claude/skills/cpd-crypto-analysis/assets/cpd_report_template.md.

Resources

references/cpd_prompt_template.md — base CPD prompt template
references/source_playbook.md — source map and evidence checklist
assets/cpd_report_template.md — final report layout
scripts/build_cpd_prompt.py — prompt generator
scripts/init_cpd_scorecard.py — scorecard initializer
scripts/score_cpd.py — score calculator and report generator

What ships with it: 7 files

16.1 KB alongside SKILL.md, 3 of them executable