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Détection de régressions silencieuses d'agent par comparaison d…

Capturez le comportement d'un agent, comparez les sorties et les chemins d'appel d'outils, et bloquez les mises en production lorsqu'un changement de modèle ou de prompt modifie subtilement le comportement.

Qu'est-ce que Détection de régressions silencieuses d'agent par comparaison d… ?

Cette compétence permet de détecter les régressions silencieuses d'agents IA en comparant les sorties et les traces d'appels d'outils entre différentes versions. Elle est particulièrement utile pour les développeurs d'agents et les équipes CI/CD qui souhaitent bloquer automatiquement les mises en production lorsqu'un changement de modèle, de prompt ou de code modifie de manière inattendue le comportement de l'agent. La compétence s'appuie sur l'outil `eval-view` pour générer des snapshots du comportement de l'agent, détecter les dérives, investiguer via des rejeux statistiques et produire des verdicts gradués (confiance faible/moyenne/élevée). Elle fonctionne dans n'importe quel environnement Python (CI runner, shell local) et s'intègre avec les stacks d'agents supportées par `eval-view`. Le cycle typique est le suivant : détection -> investigation -> verdict gradué -> quarantaine -> diffusion à l'équipe, offrant ainsi une gouvernance robuste des régressions avant déploiement.

Compatible avec~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/catch-silent-agent-regressions-by-diffing-outputs-and-tool-traces-in-ci-with-eval-view
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Documentation

Détection de régressions silencieuses d'agent par comparaison des sorties et traces d'outils dans l'IC avec eval-view

Capturez le comportement d'un agent, comparez les sorties et les chemins d'appel d'outils, et bloquez les mises en production lorsqu'un changement de modèle ou de prompt modifie subtilement le comportement.

Prérequis

Environnement Python, installation d'eval-view, scénarios d'agent reproductibles ou tests, exécuteur CI ou shell local, pile d'agent supportée sous test

Installation

Notes d'utilisation de base ou de prise en main :

  • La boucle se ferme : détection → investigation → verdict gradué → quarantaine → diffusion. Vous vous réveillez, suivez la progression, triez les dérives, confirmez avec check --statistical, et l'équipe voit le digest avant...

  • | 📉 DÉRIVE | Tendance glissante avec confiance graduée (faible/moyenne/élevée) | Exécutez evalview drift |

  • | 🔎 INVESTIGUER | La couche de verdict demande un rejeu statistique | Exécutez evalview check --statistical 5 |

  • Source : https://github.com/hidai25/eval-view

  • Extrait de la documentation amont : https://raw.githubusercontent.com/hidai25/eval-view/HEAD/README.md

Documentation

Source

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

Academic Paper Citation Network Mapper

Builds citation networks from Semantic Scholar API and CrossRef DOI metadata. Visualizes paper influence graphs using NetworkX, identifies seminal works, and tracks research lineage across fields.

ACF Custom Fields REST Exposer

Exposes Advanced Custom Fields data through the WordPress REST API using register_rest_field and acf_format_value. Handles repeater fields, flexible content layouts, and gallery fields with proper serialization.

ACF Extended for Advanced Custom Fields Workflows

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ACF to Gutenberg Block Migrator

Converts Advanced Custom Fields field groups into native Gutenberg blocks using the ACF Block API v2 and @wordpress/scripts build pipeline. Maps ACF repeaters, groups, and flexible content to InnerBlocks and block attributes with server-side rendering via acf_register_block_type().

Activepieces Open Source Workflow Automation

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ActivityWatch Cross-Platform Automated Time Tracker and Producti

ActivityWatch is a privacy-first, open-source automated time tracker that records application usage, browser activity, and AFK status across Windows, macOS, and Linux. With 16k+ GitHub stars, it provides detailed productivity analytics without sending data to external servers.

act Local GitHub Actions Runner

act is an open-source CLI tool that runs GitHub Actions workflows locally using Docker, enabling fast feedback on workflow changes without pushing to GitHub. It is a standard tool for local Actions development and testing.

Add a browser review checkpoint before risky agent actions with

Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.

Add Claude design-system and accessibility workflows with UX/UI

Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

Add executable smoke tests for shell scripts and CLIs before ref

Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.

Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Add IDE-style semantic code navigation and symbol-safe refactors

Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.

Add managed long-term memory to LangGraph agents with LangMem

Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.

Add multimodal lifelong memory to MCP and Python agents with Sim

Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.

Add persistent project memory and hook-driven synthesis with Cla

Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.

Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

Address GitHub PR review comments from the current branch with g

Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.

Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

Adobe Firefly API Batch Image Generator

Calls Adobe Firefly

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