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Skills IA Tests et sécurité

Découvrez les skills Tests et sécurité, comparez leurs dépôts et consultez leurs instructions.

Catégories: Tests et sécurité

8,065–8,088 sur 81,973

Tests et sécurité Effacer les filtres

Explorer

GitHub

taxonomy-builder

WILLOSCAR

Build a 2+ level taxonomy (`outline/taxonomy.yml`) from a core paper set and scope constraints, with short descriptions per node. **Trigger**: taxonomy, taxonomy builder, 分类, 主题树, taxonomy.yml. **Use when*...

GitHub

section-merger

WILLOSCAR

Deterministically merge per-section files under `sections/` into `output/DRAFT.md`, preserving outline order and weaving transitions from `outline/transitions.md`. **Trigger**: merge sections, merge draft, comb...

GitHub

rubric-writer

WILLOSCAR

Write a rubric-based peer review report (`output/REVIEW.md`) using extracted claims and evidence gaps (novelty/soundness/clarity/impact). **Trigger**: rubric review, referee report, peer review write-up, 审稿报...

GitHub

latex-scaffold

WILLOSCAR

Scaffold a LaTeX project (`latex/main.tex`, bibliography wiring, structure) from an existing Markdown draft and `citations/ref.bib`. **Trigger**: latex scaffold, md→tex, LaTeX 项目骨架, 生成 main.tex. **Use whe...

GitHub

tutorial-module-writer

WILLOSCAR

Write the tutorial content (`output/TUTORIAL.md`) from an approved module plan, including exercises and answer outlines. **Trigger**: write tutorial, tutorial modules, 教程写作, TUTORIAL.md. **Use when**: tutor...

GitHub

evidence-binder

WILLOSCAR

Bind addressable evidence IDs from `papers/evidence_bank.jsonl` to each subsection (H3), producing `outline/evidence_bindings.jsonl`. **Trigger**: evidence binder, evidence plan, section->evidence mapping, 证据...

GitHub

evidence-selfloop

WILLOSCAR

Evidence self-loop for surveys: read evidence bindings + evidence packs, then write an actionable upstream TODO plan (which stage/skill to fix) before writing more prose. Writes `output/EVIDENCE_SELFLOOP_TODO.m...

GitHub

survey-visuals

WILLOSCAR

Draft non-prose visuals artifacts (tables, timeline, figure specs) for a survey, grounded in evidence and using citation keys from `citations/ref.bib`. **Trigger**: survey visuals, tables, timeline, figures, vi...

GitHub

outline-budgeter

WILLOSCAR

Merge/simplify an over-fragmented outline to hit a paper-like section budget (NO PROSE): target final ToC ~6–8 H2, fewer thicker H3. **Trigger**: outline budget, merge sections, too many sections, H3 explosion,...

GitHub

citation-anchoring

WILLOSCAR

Regression-check citation anchoring (citations stay in the same subsection) to prevent “polish drift” that breaks claim→evidence alignment. **Trigger**: citation anchoring, citation drift, regression, cite stab...

GitHub

citation-diversifier

WILLOSCAR

Raise citation diversity/density (NO NEW FACTS): generate an in-scope “citation budget” plan per H3 so drafts stop failing the global unique-citation gate and stop looking under-cited. **Trigger**: cite boost,...

GitHub

novelty-matrix

WILLOSCAR

Create a novelty/prior-work matrix comparing the submission’s contributions against related work (overlaps vs deltas). **Trigger**: novelty matrix, prior-work matrix, overlap/delta, 相关工作对比, 新颖性矩阵. **...

GitHub

flow-brainstorming

aiskillstore

在 /flow-init 阶段强制触发,用于捕捉需求的原始意图、探索方案、记录决策。确保后续流程有明确的北极星可追溯。

GitHub

skill-creator

PackmindHub

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or to...

GitHub

consistency-violation-capture

PackmindHub

Capture codebase inconsistencies discovered during exploration OR implementation. TRIGGER when you find conflicting patterns while looking for code to follow (e.g., "some UseCases extend AbstractMemberUseCase,...

GitHub

codebase-assumption-capture

PackmindHub

Capture wrong assumptions you made about the codebase. TRIGGER when reality differs from expectation (e.g., "assumed Jest but it's Vitest", "assumed AbstractUseCase exists but found AbstractMemberUseCase", "ass...

GitHub

artefact-logger

PackmindHub

Log access to Claude configuration artefacts (CLAUDE.md, rules, skills, commands, agents). This skill should be invoked automatically after reading configuration files to track usage.

GitHub

skill-creator

PackmindHub

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or to...

GitHub

pattern-discovery-capture

PackmindHub

Automatically capture recurring patterns discovered in the codebase during exploration. This skill logs implicit conventions, architectural patterns, and coding practices that are followed consistently but not...

GitHub

signal-capture

PackmindHub

Detect and capture technical preferences, naming conventions, and architectural practices from user messages into Packmind standards. Trigger when user prescribes HOW to code through direct statements (e.g., "U...

GitHub

git-commit-guidelines

PackmindHub

Enforce git commit best practices using gitmoji + Conventional Commits format. TRIGGER when creating commits. Ensures quality-gate passes, prevents issue auto-closing (no Close/Fix keywords), includes Co-Author...

GitHub

signal-capture

PackmindHub

Detect and capture technical preferences, naming conventions, and architectural practices from user messages into Packmind standards. Trigger when user prescribes HOW to code through direct statements (e.g., "U...

GitHub

implicit-decision-capture

PackmindHub

Automatically capture implicit technical decisions and uncertainties encountered by AI agents during coding work. This skill logs decision points where the agent chose an approach without explicit user guidance...

GitHub

command-capture

PackmindHub

Automatically capture reusable task patterns as command candidates after completing coding work. This skill identifies multi-step workflows that could benefit other developers across projects and logs them to c...

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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