{"slug":"kennethkhoocy-pyfixest-cupy64-absorbed-regressors","name":"pyfixest-cupy64-absorbed-regressors","description":"pyfixest demeaner_backend=\"cupy64\" (including its CPU fallback when cupy is\nabsent) is NOT numerically identical to the default numba backend and does\nNOT drop fully-absorbed/collinear regressors the same way. Use when: (1)\nadding demeaner_backend=\"cupy64\" to existing pf.feols/fepois calls changes\nthe printed coefficient table, (2) a regression report suddenly gains rows\nwith absurd estimates (e.g. coef 435.8, SE 7106) for controls absorbed by\nthe fixed effects, (3) diffing outputs before/after a backend change, or\n(4) anything parses a pyfixest text report by line position.","long_description":"---\nname: pyfixest-cupy64-absorbed-regressors\ndescription: |\n  pyfixest demeaner_backend=\"cupy64\" (including its CPU fallback when cupy is\n  absent) is NOT numerically identical to the default numba backend and does\n  NOT drop fully-absorbed/collinear regressors the same way. Use when: (1)\n  adding demeaner_backend=\"cupy64\" to existing pf.feols/fepois calls changes\n  the printed coefficient table, (2) a regression report suddenly gains rows\n  with absurd estimates (e.g. coef 435.8, SE 7106) for controls absorbed by\n  the fixed effects, (3) diffing outputs before/after a backend change, or\n  (4) anything parses a pyfixest text report by line position.\nauthor: Claude Code\nversion: 1.0.0\ndate: 2026-07-18\n---\n\n# pyfixest cupy64 backend: absorbed regressors survive, reports change shape\n\n## Problem\nAdding `demeaner_backend=\"cupy64\"` to an existing `pf.feols()` call is treated\nas a pure performance switch, but it changes the output: regressors with zero\nwithin-FE identifying variation (fully absorbed by the fixed effects) that the\ndefault numba backend silently drops are RETAINED by the cupy64 path (also in\nits scipy/CPU fallback when cupy is not installed). They appear in the\ncoefficient table as non-identified garbage (huge coefficient, huge SE).\n\n## Context / Trigger Conditions\nObserved 2026-07-18 (Specialist Directors US, H5 re-baseline audit): adding\nthe kwarg to 4 feols sites left the headline triple stable to 4 decimals\n(B1 diff 1.45e-6, SE diff 9.9e-6) but the text report grew from 366 to 390\nlines — 24 new rows for absorbed controls (e.g. `event_x_lrisk = 435.8059`,\nSE `7106.3365`) under firm-year + director FE, where firm-year-level\nvariables have no identifying variation.\n\n## Solution\n1. Treat a backend change as a POTENTIALLY OUTPUT-CHANGING edit: diff the\n   report and expect schema changes, not byte equality. Verify the\n   coefficients of interest at ~4-decimal precision instead.\n2. Never interpret retained absorbed-regressor rows as estimates; check\n   within-FE variation before reading nuisance coefficients.\n3. Never parse pyfixest text reports by line position; anchor on the\n   variable name of the coefficient you need.\n4. When byte-stable reports matter (regression-tested pipelines), pin the\n   backend consistently everywhere rather than mixing backends across runs.\n\n## Verification\nRe-run one model with and without the kwarg; compare: headline coef equal to\n~1e-6, coefficient-row sets DIFFERENT (absorbed regressors present only under\ncupy64). That asymmetry confirms this behavior rather than a data change.\n\n## Notes\n- Applies even with no GPU: the fail-open CPU fallback shows the same\n  retention behavior, so \"cupy isn't installed\" does not make the kwarg inert.\n- The headline inference (identified coefficients, clustered SEs) agrees to\n  reporting precision; this is a report-shape/nuisance-row issue, not a\n  correctness issue for identified estimates.\n","tagline":"pyfixest demeaner_backend=\"cupy64\" (including its CPU fallback when cupy is\nabsent) is NOT numerically identical to the default numba backend and does\nNOT drop fully-absorbed/collinear regressors the same way. Use when: (1)\nadding demeaner_backend=\"cupy64\" to existing pf.feols/fe","category":"automation","tags":["agent-skill"],"author":"Claude Code","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"recursive skill source sync","sourceDetail":"kennethkhoocy/applied-micro-skills","creatorName":"Claude Code","creatorUrl":"https://github.com/kennethkhoocy","sourceUrl":"https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/pyfixest-cupy64-absorbed-regressors","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/kennethkhoocy-pyfixest-cupy64-absorbed-regressors#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. 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issue activity unavailable in current metadata"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Human review or sandbox validation is required before automatic installation."},"bestFor":["automation","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"],"knownRisks":["Low GitHub adoption signal","Quality score needs review","GitHub adoption: 47 GitHub stars","Stars/forks activity: 47 stars, 0 forks; issue activity unavailable in current metadata"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"outcome_stats":null,"safety":{"score":64,"level":"review_before_install","label":"Review before install","safety_tier":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","summary":"Usable candidate, but the agent should surface permission and audit notes before installation.","recommended_action":"Require human approval before installing into a real workspace.","auto_install_policy":"review","reasons":["Low GitHub adoption signal","64/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"needs_review","permission_hints":[{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"},{"id":"database","label":"Database access","reason":"Skill may inspect schemas, query databases, or work with persistent stores.","severity":"medium"}],"policy_warnings":["Low GitHub adoption signal"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","auto_install_policy":"review","auto_install_allowed":false,"blocked":false,"human_review_required":true,"recommended_action":"Require human approval before installing into a real workspace.","reasons":["Low GitHub adoption signal","64/100 agent safety score"]},"eval":{"version":"openagentskill-skill-eval-v1","status":"review","score":73,"risk_level":"medium","decision":{"recommendation":"manual_review","reason":"Require human approval before installing into a real workspace.","auto_install_allowed":false,"policy":"review","human_review_required":true},"blockers":[],"warnings":["Trust score: Good trust signals with a few areas worth checking before rollout.","Audit score: Needs review","Agent safety gate: Usable candidate, but the agent should surface permission and audit notes before installation.","Low GitHub adoption signal","Quality score needs review","GitHub adoption: 47 GitHub stars","Stars/forks activity: 47 stars, 0 forks; issue activity unavailable in current metadata"],"validation_plan":["Inspect repository, README/SKILL.md, license, and recent commits before production use.","Install in an isolated workspace or sandbox with no production secrets available.","Run the smallest representative task and record files touched, commands run, network access, and outputs.","Compare the selected skill against at least one alternative when the eval status is review or failed.","Promote only after the agent reports a successful verification result and unresolved warnings are accepted."],"checks":[{"id":"task_fit","label":"Task fit","status":"pass","score":84,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate pyfixest-cupy64-absorbed-regressors before installing it in an agent workflow","automation","Browser automation workflows; Claude Code teams; builders willing to evaluate younger projects"]},{"id":"install_path","label":"Install path","status":"pass","score":92,"required_for_auto_install":true,"detail":"Install handoff is available.","evidence":["npx skills add kennethkhoocy/applied-micro-skills --skill pyfixest-cupy64-absorbed-regressors"]},{"id":"install_safety","label":"Install command safety","status":"pass","score":92,"required_for_auto_install":true,"detail":"standard package or runtime install path","evidence":["npx skills add kennethkhoocy/applied-micro-skills --skill pyfixest-cupy64-absorbed-regressors"]},{"id":"trust_score","label":"Trust score","status":"warn","score":79,"required_for_auto_install":true,"detail":"Good trust signals with a few areas worth checking before rollout.","evidence":["Strong shortlist","47 GitHub stars","MIT"]},{"id":"audit_score","label":"Audit score","status":"warn","score":80,"required_for_auto_install":true,"detail":"Needs review","evidence":["Low GitHub adoption signal"]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"warn","score":64,"required_for_auto_install":true,"detail":"Usable candidate, but the agent should surface permission and audit notes before installation.","evidence":["Require human approval before installing into a real workspace.","Low GitHub adoption signal"]},{"id":"readme_skillmd_completeness","label":"README/SKILL.md completeness","status":"pass","score":86,"required_for_auto_install":false,"detail":"Metadata includes enough usage and workflow context","evidence":["Strong README/SKILL.md context"]},{"id":"license_clarity","label":"License clarity","status":"pass","score":86,"required_for_auto_install":true,"detail":"MIT","evidence":["MIT"]},{"id":"recent_maintenance","label":"Recent maintenance","status":"pass","score":100,"required_for_auto_install":false,"detail":"Pushed today","evidence":["Pushed today"]},{"id":"permission_surface","label":"Permission surface","status":"pass","score":88,"required_for_auto_install":true,"detail":"database access","evidence":["Network access: medium","Database access: medium"]},{"id":"alternatives","label":"Alternatives available","status":"info","score":55,"required_for_auto_install":false,"detail":"No close alternatives were found in the current shortlist.","evidence":[]}],"endpoints":{"web":"https://www.openagentskill.com/skills/kennethkhoocy-pyfixest-cupy64-absorbed-regressors/evals","api":"/api/agent/evals?slug=kennethkhoocy-pyfixest-cupy64-absorbed-regressors","text":"/api/agent/evals?slug=kennethkhoocy-pyfixest-cupy64-absorbed-regressors&format=text"}},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"kennethkhoocy-pyfixest-cupy64-absorbed-regressors","name":"pyfixest-cupy64-absorbed-regressors","description":"pyfixest demeaner_backend=\"cupy64\" (including its CPU fallback when cupy is\nabsent) is NOT numerically identical to the default numba backend and does\nNOT drop fully-absorbed/collinear regressors the same way. Use when: (1)\nadding demeaner_backend=\"cupy64\" to existing pf.feols/fepois calls changes\nthe printed coefficient table, (2) a regression report suddenly gains rows\nwith absurd estimates (e.g. coef 435.8, SE 7106) for controls absorbed by\nthe fixed effects, (3) diffing outputs before/after a backend change, or\n(4) anything parses a pyfixest text report by line position.","category":"automation","url":"https://www.openagentskill.com/skills/kennethkhoocy-pyfixest-cupy64-absorbed-regressors","repository":"https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/pyfixest-cupy64-absorbed-regressors","github_repo":"kennethkhoocy/applied-micro-skills"},"suited_tasks":["Browser automation workflows","Claude Code teams","builders willing to evaluate younger projects","Navigate pages","Click and type safely","Check visual and DOM state","Search sources","Extract claims"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add kennethkhoocy/applied-micro-skills --skill pyfixest-cupy64-absorbed-regressors","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install kennethkhoocy-pyfixest-cupy64-absorbed-regressors"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"pyfixest-cupy64-absorbed-regressors\" agent skill from https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/pyfixest-cupy64-absorbed-regressors. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: pyfixest demeaner_backend=\"cupy64\" (including its CPU fallback when cupy is absent) is NOT numerically identical to the default numba backend and does NOT drop fully-absorbed/collinear regressors the same way. Use when: (1) adding demeaner_backend=\"cupy64\" to existing pf.feols/fepois calls changes the printed coefficient table, (2) a regression report suddenly gains rows with absurd estimates (e.g. coef 435.8, SE 7106) for controls absorbed by the fixed effects, (3) diffing outputs before/after a backend change, or (4) anything parses a pyfixest text report by line position. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"kennethkhoocy-pyfixest-cupy64-absorbed-regressors\",\"task\":\"Install pyfixest-cupy64-absorbed-regressors\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"pyfixest-cupy64-absorbed-regressors\" as a Claude Code skill from https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/pyfixest-cupy64-absorbed-regressors. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: pyfixest demeaner_backend=\"cupy64\" (including its CPU fallback when cupy is absent) is NOT numerically identical to the default numba backend and does NOT drop fully-absorbed/collinear regressors the same way. Use when: (1) adding demeaner_backend=\"cupy64\" to existing pf.feols/fepois calls changes the printed coefficient table, (2) a regression report suddenly gains rows with absurd estimates (e.g. coef 435.8, SE 7106) for controls absorbed by the fixed effects, (3) diffing outputs before/after a backend change, or (4) anything parses a pyfixest text report by line position. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"kennethkhoocy-pyfixest-cupy64-absorbed-regressors\",\"task\":\"Install pyfixest-cupy64-absorbed-regressors\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"pyfixest-cupy64-absorbed-regressors\" from https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/pyfixest-cupy64-absorbed-regressors into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: pyfixest demeaner_backend=\"cupy64\" (including its CPU fallback when cupy is absent) is NOT numerically identical to the default numba backend and does NOT drop fully-absorbed/collinear regressors the same way. Use when: (1) adding demeaner_backend=\"cupy64\" to existing pf.feols/fepois calls changes the printed coefficient table, (2) a regression report suddenly gains rows with absurd estimates (e.g. coef 435.8, SE 7106) for controls absorbed by the fixed effects, (3) diffing outputs before/after a backend change, or (4) anything parses a pyfixest text report by line position. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"kennethkhoocy-pyfixest-cupy64-absorbed-regressors\",\"task\":\"Install pyfixest-cupy64-absorbed-regressors\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/kennethkhoocy-pyfixest-cupy64-absorbed-regressors/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/kennethkhoocy-pyfixest-cupy64-absorbed-regressors"},"trust":{"score":79,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"47 GitHub stars","repoActivity":"47 stars, 0 forks","lastPushed":"Pushed today","license":"MIT","repository":"https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/pyfixest-cupy64-absorbed-regressors","install":"npx skills add kennethkhoocy/applied-micro-skills --skill pyfixest-cupy64-absorbed-regressors","installSafety":"standard package or runtime install path","permissionSurface":"database access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["automation","agent-skill"],"known_risks":["Low GitHub adoption signal","Quality score needs review","GitHub adoption: 47 GitHub stars","Stars/forks activity: 47 stars, 0 forks; issue activity unavailable in current metadata"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":80,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Low GitHub adoption signal","Quality score needs review","GitHub adoption: 47 GitHub stars","Stars/forks activity: 47 stars, 0 forks; issue activity unavailable in current metadata"]},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace."},"quality":{"score":64,"label":"Promising"},"supply":{"track":"Coding and developer agents","scenario":"GitHub automation","maintenance":"Pushed today","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","Low GitHub adoption signal","No OpenAgentSkill engagement data yet","Quality score needs review","GitHub adoption: 47 GitHub stars","Stars/forks activity: 47 stars, 0 forks; issue activity unavailable in current metadata","Production credentials, payments, or irreversible account changes without explicit human review"],"agent_contract":{"task_input":"Use pyfixest-cupy64-absorbed-regressors in an agent workflow","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 79/100 Strong shortlist","Audit: 80/100 Needs review","Safety: 64/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"kennethkhoocy-pyfixest-cupy64-absorbed-regressors (pyfixest-cupy64-absorbed-regressors)","install_command":"npx skills add kennethkhoocy/applied-micro-skills --skill pyfixest-cupy64-absorbed-regressors","risk_summary":"Needs review; Reviewed with permission notes; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"kennethkhoocy-pyfixest-cupy64-absorbed-regressors","task":"Use pyfixest-cupy64-absorbed-regressors in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/kennethkhoocy-pyfixest-cupy64-absorbed-regressors","api":"https://www.openagentskill.com/api/agent/skills/kennethkhoocy-pyfixest-cupy64-absorbed-regressors","audit":"https://www.openagentskill.com/skills/kennethkhoocy-pyfixest-cupy64-absorbed-regressors/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=kennethkhoocy-pyfixest-cupy64-absorbed-regressors&task=Use%20pyfixest-cupy64-absorbed-regressors%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20pyfixest-cupy64-absorbed-regressors%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20pyfixest-cupy64-absorbed-regressors%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/kennethkhoocy-pyfixest-cupy64-absorbed-regressors/install","manifest":"https://www.openagentskill.com/api/registry/manifest/kennethkhoocy-pyfixest-cupy64-absorbed-regressors"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"kennethkhoocy-pyfixest-cupy64-absorbed-regressors","name":"pyfixest-cupy64-absorbed-regressors","description":"pyfixest demeaner_backend=\"cupy64\" (including its CPU fallback when cupy is\nabsent) is NOT numerically identical to the default numba backend and does\nNOT drop fully-absorbed/collinear regressors the same way. Use when: (1)\nadding demeaner_backend=\"cupy64\" to existing pf.feols/fepois calls changes\nthe printed coefficient table, (2) a regression report suddenly gains rows\nwith absurd estimates (e.g. coef 435.8, SE 7106) for controls absorbed by\nthe fixed effects, (3) diffing outputs before/after a backend change, or\n(4) anything parses a pyfixest text report by line position.","category":"automation","url":"https://www.openagentskill.com/skills/kennethkhoocy-pyfixest-cupy64-absorbed-regressors","repository":"https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/pyfixest-cupy64-absorbed-regressors","github_repo":"kennethkhoocy/applied-micro-skills"},"suited_tasks":["Browser automation workflows","Claude Code teams","builders willing to evaluate younger projects","Navigate pages","Click and type safely","Check visual and DOM state","Search sources","Extract claims"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add kennethkhoocy/applied-micro-skills --skill pyfixest-cupy64-absorbed-regressors","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install kennethkhoocy-pyfixest-cupy64-absorbed-regressors"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"pyfixest-cupy64-absorbed-regressors\" agent skill from https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/pyfixest-cupy64-absorbed-regressors. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: pyfixest demeaner_backend=\"cupy64\" (including its CPU fallback when cupy is absent) is NOT numerically identical to the default numba backend and does NOT drop fully-absorbed/collinear regressors the same way. Use when: (1) adding demeaner_backend=\"cupy64\" to existing pf.feols/fepois calls changes the printed coefficient table, (2) a regression report suddenly gains rows with absurd estimates (e.g. coef 435.8, SE 7106) for controls absorbed by the fixed effects, (3) diffing outputs before/after a backend change, or (4) anything parses a pyfixest text report by line position. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"kennethkhoocy-pyfixest-cupy64-absorbed-regressors\",\"task\":\"Install pyfixest-cupy64-absorbed-regressors\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"pyfixest-cupy64-absorbed-regressors\" as a Claude Code skill from https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/pyfixest-cupy64-absorbed-regressors. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: pyfixest demeaner_backend=\"cupy64\" (including its CPU fallback when cupy is absent) is NOT numerically identical to the default numba backend and does NOT drop fully-absorbed/collinear regressors the same way. Use when: (1) adding demeaner_backend=\"cupy64\" to existing pf.feols/fepois calls changes the printed coefficient table, (2) a regression report suddenly gains rows with absurd estimates (e.g. coef 435.8, SE 7106) for controls absorbed by the fixed effects, (3) diffing outputs before/after a backend change, or (4) anything parses a pyfixest text report by line position. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"kennethkhoocy-pyfixest-cupy64-absorbed-regressors\",\"task\":\"Install pyfixest-cupy64-absorbed-regressors\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"pyfixest-cupy64-absorbed-regressors\" from https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/pyfixest-cupy64-absorbed-regressors into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: pyfixest demeaner_backend=\"cupy64\" (including its CPU fallback when cupy is absent) is NOT numerically identical to the default numba backend and does NOT drop fully-absorbed/collinear regressors the same way. Use when: (1) adding demeaner_backend=\"cupy64\" to existing pf.feols/fepois calls changes the printed coefficient table, (2) a regression report suddenly gains rows with absurd estimates (e.g. coef 435.8, SE 7106) for controls absorbed by the fixed effects, (3) diffing outputs before/after a backend change, or (4) anything parses a pyfixest text report by line position. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"kennethkhoocy-pyfixest-cupy64-absorbed-regressors\",\"task\":\"Install pyfixest-cupy64-absorbed-regressors\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/kennethkhoocy-pyfixest-cupy64-absorbed-regressors/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/kennethkhoocy-pyfixest-cupy64-absorbed-regressors"},"trust":{"score":79,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"47 GitHub stars","repoActivity":"47 stars, 0 forks","lastPushed":"Pushed today","license":"MIT","repository":"https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/pyfixest-cupy64-absorbed-regressors","install":"npx skills add kennethkhoocy/applied-micro-skills --skill pyfixest-cupy64-absorbed-regressors","installSafety":"standard package or runtime install path","permissionSurface":"database access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["automation","agent-skill"],"known_risks":["Low GitHub adoption signal","Quality score needs review","GitHub adoption: 47 GitHub stars","Stars/forks activity: 47 stars, 0 forks; issue activity unavailable in current metadata"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":80,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Low GitHub adoption signal","Quality score needs review","GitHub adoption: 47 GitHub stars","Stars/forks activity: 47 stars, 0 forks; issue activity unavailable in current metadata"]},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace."},"quality":{"score":64,"label":"Promising"},"supply":{"track":"Coding and developer agents","scenario":"GitHub automation","maintenance":"Pushed today","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","Low GitHub adoption signal","No OpenAgentSkill engagement data yet","Quality score needs review","GitHub adoption: 47 GitHub stars","Stars/forks activity: 47 stars, 0 forks; issue activity unavailable in current metadata","Production credentials, payments, or irreversible account changes without explicit human review"],"agent_contract":{"task_input":"Use pyfixest-cupy64-absorbed-regressors in an agent workflow","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 79/100 Strong shortlist","Audit: 80/100 Needs review","Safety: 64/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"kennethkhoocy-pyfixest-cupy64-absorbed-regressors (pyfixest-cupy64-absorbed-regressors)","install_command":"npx skills add kennethkhoocy/applied-micro-skills --skill pyfixest-cupy64-absorbed-regressors","risk_summary":"Needs review; Reviewed with permission notes; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"kennethkhoocy-pyfixest-cupy64-absorbed-regressors","task":"Use pyfixest-cupy64-absorbed-regressors in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/kennethkhoocy-pyfixest-cupy64-absorbed-regressors","api":"https://www.openagentskill.com/api/agent/skills/kennethkhoocy-pyfixest-cupy64-absorbed-regressors","audit":"https://www.openagentskill.com/skills/kennethkhoocy-pyfixest-cupy64-absorbed-regressors/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=kennethkhoocy-pyfixest-cupy64-absorbed-regressors&task=Use%20pyfixest-cupy64-absorbed-regressors%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20pyfixest-cupy64-absorbed-regressors%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20pyfixest-cupy64-absorbed-regressors%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/kennethkhoocy-pyfixest-cupy64-absorbed-regressors/install","manifest":"https://www.openagentskill.com/api/registry/manifest/kennethkhoocy-pyfixest-cupy64-absorbed-regressors"}},"supply_profile":{"track":{"slug":"coding","label":"Coding and developer agents","shortLabel":"Coding","description":"Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills."},"scenario":{"label":"GitHub automation","description":"I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.","useCases":[{"slug":"browser-automation","title":"Browser automation"},{"slug":"research-agents","title":"Research agents"},{"slug":"document-processing","title":"Document processing"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add kennethkhoocy/applied-micro-skills --skill pyfixest-cupy64-absorbed-regressors","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":47,"starsLabel":"47","forks":0,"license":"MIT","qualityScore":64,"trustScore":79,"auditScore":80},"maintenance":{"status":"fresh","label":"Pushed today","daysSincePush":0,"lastPushedAt":"2026-08-24T03:17:05+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Low GitHub adoption signal","Quality score needs review","GitHub adoption: 47 GitHub stars","Stars/forks activity: 47 stars, 0 forks; issue activity unavailable in current metadata","Needs review"]},"coverageTags":["Coding","GitHub automation","automation","agent-skill"]},"audit":{"audit_score":80,"risk_level":"needs_review","risk_label":"Needs review","quality_score":64,"trust_score":79,"maintenance_score":100,"security_score":86,"install_score":92,"warnings":["Low GitHub adoption signal","Quality score needs review","GitHub adoption: 47 GitHub stars","Stars/forks activity: 47 stars, 0 forks; issue activity unavailable in current metadata"]},"quality_signals":{"model":"v2","star_score":11.77,"usage_score":0,"review_score":5.55,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"},{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"document-processing","title":"Document processing","url":"https://www.openagentskill.com/use-cases/document-processing"},{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"}],"stacks":[{"slug":"browser-qa-agent","title":"Browser QA agent","url":"https://www.openagentskill.com/collections/browser-qa-agent"},{"slug":"research-report-agent","title":"Research report agent","url":"https://www.openagentskill.com/collections/research-report-agent"},{"slug":"content-growth-agent","title":"Content growth agent","url":"https://www.openagentskill.com/collections/content-growth-agent"}],"install":"npx skills add kennethkhoocy/applied-micro-skills --skill pyfixest-cupy64-absorbed-regressors","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install kennethkhoocy-pyfixest-cupy64-absorbed-regressors","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"pyfixest-cupy64-absorbed-regressors\" agent skill from https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/pyfixest-cupy64-absorbed-regressors. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: pyfixest demeaner_backend=\"cupy64\" (including its CPU fallback when cupy is absent) is NOT numerically identical to the default numba backend and does NOT drop fully-absorbed/collinear regressors the same way. Use when: (1) adding demeaner_backend=\"cupy64\" to existing pf.feols/fepois calls changes the printed coefficient table, (2) a regression report suddenly gains rows with absurd estimates (e.g. coef 435.8, SE 7106) for controls absorbed by the fixed effects, (3) diffing outputs before/after a backend change, or (4) anything parses a pyfixest text report by line position. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"kennethkhoocy-pyfixest-cupy64-absorbed-regressors\",\"task\":\"Install pyfixest-cupy64-absorbed-regressors\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"pyfixest-cupy64-absorbed-regressors\" as a Claude Code skill from https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/pyfixest-cupy64-absorbed-regressors. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: pyfixest demeaner_backend=\"cupy64\" (including its CPU fallback when cupy is absent) is NOT numerically identical to the default numba backend and does NOT drop fully-absorbed/collinear regressors the same way. Use when: (1) adding demeaner_backend=\"cupy64\" to existing pf.feols/fepois calls changes the printed coefficient table, (2) a regression report suddenly gains rows with absurd estimates (e.g. coef 435.8, SE 7106) for controls absorbed by the fixed effects, (3) diffing outputs before/after a backend change, or (4) anything parses a pyfixest text report by line position. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"kennethkhoocy-pyfixest-cupy64-absorbed-regressors\",\"task\":\"Install pyfixest-cupy64-absorbed-regressors\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"pyfixest-cupy64-absorbed-regressors\" from https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/pyfixest-cupy64-absorbed-regressors into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: pyfixest demeaner_backend=\"cupy64\" (including its CPU fallback when cupy is absent) is NOT numerically identical to the default numba backend and does NOT drop fully-absorbed/collinear regressors the same way. Use when: (1) adding demeaner_backend=\"cupy64\" to existing pf.feols/fepois calls changes the printed coefficient table, (2) a regression report suddenly gains rows with absurd estimates (e.g. coef 435.8, SE 7106) for controls absorbed by the fixed effects, (3) diffing outputs before/after a backend change, or (4) anything parses a pyfixest text report by line position. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"kennethkhoocy-pyfixest-cupy64-absorbed-regressors\",\"task\":\"Install pyfixest-cupy64-absorbed-regressors\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/pyfixest-cupy64-absorbed-regressors","github_repo":"kennethkhoocy/applied-micro-skills","version":"1.0.0","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/kennethkhoocy-pyfixest-cupy64-absorbed-regressors","repository":"https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/pyfixest-cupy64-absorbed-regressors","api":"/api/agent/skills/kennethkhoocy-pyfixest-cupy64-absorbed-regressors","install_api":"/api/skills/kennethkhoocy-pyfixest-cupy64-absorbed-regressors/install"},"meta":{"created_at":"2026-08-24T05:36:59.673038+00:00","updated_at":"2026-08-24T05:36:59.673038+00:00","agent_friendly":true}}