Rapport d’audit du skill
policyengine-data Rapport d’audit.
Load for PolicyEngine's data layer — how the microdata behind population microsimulations is built, calibrated, versioned, and named. Covers the Microcosm stack (Frame kernel, microcosm-fit conditional models, microcosm-calibrate weights with L0 sparsity, build/release gates), the certified datasets that flow into policyengine bundles (populace_us_2024 sparse ~57k default, populace_us_2024_acs_local ~1.6M local-area, populace_uk_2023 private), the "one national dataset filtered by geography" local-area philosophy, the calibration diagnostics dashboard, and where data work goes now that policyengine-us-data is archived. Triggers: Microcosm (formerly Populace), Frame, microcosm-fit, microcosm-calibrate, calibration target, survey weights, reweighting, imputation, QRF, quantile loss, L0 sparsity, sparse 57k, local-area data, ACS, FRS, WAS, enhanced microdata, DEFAULT_DATASET. NOT for: running simulations (see policyengine) or diagnosing a specific score mismatch (see policyengine-calibrat
Trust Score OpenAgentSkill
Trust Score OpenAgentSkill
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
Adoption GitHub
Avertissement48
32 stars GitHub
Activité stars/forks
Avertissement43
32 stars et 6 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Maintenance récente
Validé88
1 mois depuis le dernier push
Clarté de licence
Validé86
MIT
Complétude README/SKILL.md
Validé86
Les métadonnées incluent suffisamment de contexte d’usage et de workflow
Risque dépendances/runtime
Info74
network or browser surface, database surface
Disponibilité de l’installation
Validé92
npx skills add PolicyEngine/policyengine-claude --skill policyengine-data
Sécurité de la commande d’installation
Validé92
Chemin d’installation standard de package ou runtime
Surface de permissions
Avertissement60
filesystem or document access, network or browser access
Preuve du dépôt
Validé86
https://github.com/PolicyEngine/policyengine-claude/tree/main/skills/policyengine-data
État de revue
Avertissement46
L’approbation de revue IA est absente
Résultats prouvés par Agent
Info54
Pas encore de données de résultats Agent
Vérifications
Revue d’installation et d’adoption
Chemin d’installation
92
npx skills add PolicyEngine/policyengine-claude --skill policyengine-data
Dépôt
88
https://github.com/PolicyEngine/policyengine-claude/tree/main/skills/policyengine-data
Licence
86
MIT
Maintenance
88
1 mois depuis le dernier push
Revue IA
55
Review approval is missing
Complétude README/SKILL.md
86
Usable description available
Risque de dépendances
74
network or browser surface, database surface
Sécurité de la commande d’installation
92
Chemin d’installation standard de package ou runtime
Surface de permissions
60
filesystem or document access, network or browser access
Activité stars/forks
43
32 stars et 6 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
42
32 stars GitHub
Financial decision safety
20
Potential execution surface detected; do not connect live broker, exchange, wallet, or payment credentials.
Avertissements
- Permission surface may require sandboxing
- Financial research output is not financial advice; require human review before any live investment decision
- Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
- Low GitHub adoption signal
- L’approbation de revue IA est absente
- Financial research output is not financial advice; require human review before any live investment decision.
- This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
- Quality score needs review
- Permission surface needs review: filesystem or document access, network or browser access
- GitHub adoption: 32 GitHub stars
- Stars/forks activity: 32 stars, 6 forks; issue activity unavailable in current metadata
- Permission surface: filesystem or document access, network or browser access
Méthode
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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