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SKILL verified MIT Self-run

Check Methodology

skill-alessandrocaforio-academic-writing-check-methodology · by AlessandroCaforio

Deep econometric review of identification strategy, TWFE, and shift-share design

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Install

$ agentstack add skill-alessandrocaforio-academic-writing-check-methodology

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
5mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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How agent discovery & health will work →
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About

Check Methodology

Run a deep causal inference review of the thesis methodology. The optional argument specifies a focus area.

Instructions

  1. Read the methodology chapter: thesis/chapters/04_methodology.tex
  2. Read the results chapter: thesis/chapters/05_results.tex
  3. Read the causal inference rule: .claude/rules/causal-inference.md
  4. Perform the full review per the causal-inference agent instructions

Focus Areas (optional argument)

  • identification — Focus on parallel trends, exogeneity, and threats
  • twfe — Focus on TWFE validity and heterogeneous treatment concerns
  • shift-share — Focus on Bartik instrument conditions (BHJ, GPSS)
  • inference — Focus on clustering, small-cluster corrections, spatial correlation
  • robustness — Focus on sensitivity checks and what additional checks are needed
  • No argument — Full comprehensive review

Output

Return the structured review report with priority recommendations.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.