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Audit economic analysis outputs (fiscal briefings, macro briefings, market research, longlists, and other quantitative economic documents) against methodology standards, academic literature, and common errors. Runs structured checks across core categories including counterfactual, additionality, discounting, double counting, distributional analysis, Aqua Book RIGOUR, and Flyvbjerg-style strategic misrepresentation detection. Returns a RAG scorecard with issues ranked by severity.
2 of 23 test cases passed with the skill.
Tokens, turns and time describe resource use, not a dollar price.
Lift withheld: 1 comparable cases; this report requires 8.
The instructions your model reads when the skill loads.
Only stop to ask the user when: the document type is unrecognised, or fix confirmation is needed under --fix mode.
Never stop to ask about: which checks to run (all applicable ones), grading methodology, or output filename.
Before starting, run this silently. If it outputs UPDATE_AVAILABLE, tell the user:
"A new version of econstack is available. Run cd ~/.claude/skills/econstack && git pull to update."
Then continue with the skill normally.
~/.claude/skills/econstack/bin/econstack-update-check 2>/dev/null || true
After the update check, run this silently to load prior learnings for this project:
eval "$(~/.claude/skills/econstack/bin/econstack-slug)"
~/.claude/skills/econstack/bin/econstack-learnings-read --limit 3 2>/dev/null || true
If learnings are found, apply them. When a prior learning influences a decision, note: "Prior learning applied: [key]".
Capturing new learnings: After completing this skill, log new insights via:
~/.claude/skills/econstack/bin/econstack-learnings-log '{"skill":"...","type":"...","key":"...","insight":"...","confidence":N,"source":"observed|user-stated|inferred"}'
Types: framework (preferred appraisal framework), parameter (custom overrides), data-source (preferred data), output (past report references), operational (tool/env quirks), preference (formatting/style). Confidence: 9-10 observed/stated, 6-8 strong inference, 4-5 weak. User-stated never decays; observed/inferred lose 1 point per 30 days. All data stored locally. Nothing transmitted.
After the update check, verify the parameter database is available and check staleness:
PARAMS_DIR="$HOME/econstack-data/parameters"
if [ -d "$PARAMS_DIR" ]; then
PARAM_COUNT=$(find "$PARAMS_DIR" -name "*.json" 2>/dev/null | wc -l | tr -d ' ')
echo "PARAMS: $PARAM_COUNT files loaded from $PARAMS_DIR"
# Check for stale files (last_verified > 2 years ago)
test cases passed with the skill
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