Token导航 LogoToken导航TokenDH.com
研究检索执行命令github未标认证来源可访问许可证需确认审计异常

casscass 搜索

Agent Skill

cass 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

19,780

周安装

841

GitHub Stars

722

下载量

6,930
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:cass(cass 搜索)
来源仓库:https://github.com/dicklesworthstone/coding_agent_session_search
仓库路径:skills/cass
安装命令:
npx skills add https://github.com/dicklesworthstone/coding_agent_session_search --skill cass
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/dicklesworthstone/coding_agent_session_search --skill cass

简介

cass 统一索引和搜索本地编码 Agent 的历史会话记录。

  • 聚合 Codex、Claude、Cursor 等 11 种 Agent 的工作痕迹。
  • 支持 JSON 输出模式供 Agent 直接调用,避免交互式阻塞。
  • 可用于重现过往解决方案或分析错误模式。
  • 需启用 --robot 或 --json 参数确保机器可读输出。

SKILL.md

CASS - Coding Agent Session Search

Unified, high-performance CLI/TUI to index and search your local coding agent history. Aggregates sessions from 11 agents: Codex, Claude Code, Gemini CLI, Cline, OpenCode, Amp, Cursor, ChatGPT, Aider, Pi-Agent, and Factory (Droid).

CRITICAL: Robot Mode Required for AI Agents

NEVER run bare cass - it launches an interactive TUI that blocks your session!

# WRONG - blocks terminal
cass

# CORRECT - JSON output for agents
cass search "query" --robot
cass search "query" --json  # alias

Always use --robot or --json flags for machine-readable output.


Quick Reference for AI Agents

Pre-Flight Check

# Health check (exit 0=healthy, 1=unhealthy, <50ms)
cass health

# If unhealthy, rebuild index
cass index --full

Essential Commands

# Search with JSON output
cass search "authentication error" --robot --limit 5

# Search with metadata (elapsed_ms, cache stats, freshness)
cass search "error" --robot --robot-meta

# Minimal payload (path, line, agent only)
cass search "bug" --robot --fields minimal

# View source at specific line
cass view /path/to/session.jsonl -n 42 --json

# Expand context around a line
cass expand /path/to/session.jsonl -n 42 -C 5 --json

# Capabilities discovery
cass capabilities --json

# Full API schema
cass introspect --json

# LLM-optimized documentation
cass robot-docs guide
cass robot-docs commands
cass robot-docs schemas
cass robot-docs examples
cass robot-docs exit-codes

Why Use CASS

Cross-Agent Knowledge Transfer

Your coding agents create scattered knowledge:

  • Claude Code sessions in ~/.claude/projects
  • Codex sessions in ~/.codex/sessions
  • Cursor state in SQLite databases
  • Aider history in markdown files

CASS unifies all of this into a single searchable index. When you're stuck on a problem, search across ALL your past agent sessions to find relevant solutions.

Use Cases

# "I solved this before..."
cass search "TypeError: Cannot read property" --robot --days 30

# Cross-agent learning (what has ANY agent said about X?)
cass search "authentication" --robot --workspace /path/to/project

# Agent-to-agent handoff
cass search "database migration" --robot --fields summary

# Daily review
cass timeline --today --json

Command Reference

Indexing

# Full rebuild of DB and search index
cass index --full

# Incremental update (since last scan)
cass index

# Watch mode: auto-reindex on file changes
cass index --watch

# Force rebuild even if schema unchanged
cass index --full --force-rebuild

# Safe retries with idempotency key (24h TTL)
cass index --full --idempotency-key "build-$(date +%Y%m%d)"

# JSON output with stats
cass index --full --json

Search

# Basic search (JSON output required for agents!)
cass search "query" --robot

# With filters
cass search "error" --robot --agent claude --days 7
cass search "bug" --robot --workspace /path/to/project
cass search "panic" --robot --today

# Time filters
cass search "auth" --robot --since 2024-01-01 --until 2024-01-31
cass search "test" --robot --yesterday
cass search "fix" --robot --week

# Wildcards
cass search "auth*" --robot          # prefix: authentication, authorize
cass search "*tion" --robot          # suffix: authentication, exception
cass search "*config*" --robot       # substring: misconfigured

# Token budget management (critical for LLMs!)
cass search "error" --robot --fields minimal              # path, line, agent only
cass search "error" --robot --fields summary              # adds title, score
cass search "error" --robot --max-content-length 500      # truncate fields
cass search "error" --robot --max-tokens 2000             # soft budget (~4 chars/token)
cass search "error" --robot --limit 5                     # cap results

# Pagination (cursor-based)
cass search "TODO" --robot --robot-meta --limit 20
# Use _meta.next_cursor from response:
cass search "TODO" --robot --robot-meta --limit 20 --cursor "eyJ..."

# Match highlighting
cass search "authentication error" --robot --highlight

# Query analysis/debugging
cass search "auth*" --robot --explain    # parsed query, cost estimates
cass search "auth error" --robot --dry-run  # validate without executing

# Aggregations (server-side counts)
cass search "error" --robot --aggregate agent,workspace,date

# Request correlation
cass search "bug" --robot --request-id "req-12345"

# Source filtering (for multi-machine setups)
cass search "auth" --robot --source laptop
cass search "error" --robot --source remote

# Traceability (for debugging agent pipelines)
cass search "error" --robot --trace-file /tmp/cass-trace.json

Session Analysis

# Export conversation to markdown/HTML/JSON
cass export /path/to/session.jsonl --format markdown -o conversation.md
cass export /path/to/session.jsonl --format html -o conversation.html
cass export /path/to/session.jsonl --format json --include-tools

# Expand context around a line (from search result)
cass expand /path/to/session.jsonl -n 42 -C 5 --json
# Shows 5 messages before and after line 42

# View source at line
cass view /path/to/session.jsonl -n 42 --json

# Activity timeline
cass timeline --today --json --group-by hour
cass timeline --days 7 --json --agent claude
cass timeline --since 7d --json

# Find related sessions for a file
cass context /path/to/source.ts --json

Status & Diagnostics

# Quick health (<50ms)
cass health
cass health --json

# Full status snapshot
cass status --json
cass state --json  # alias

# Statistics
cass stats --json
cass stats --by-source  # for multi-machine

# Full diagnostics
cass diag --verbose

Aggregation & Analytics

Aggregate search results server-side to get counts and distributions without transferring full result data:

# Count results by agent
cass search "error" --robot --aggregate agent
# → { "aggregations": { "agent": { "buckets": [{"key": "claude_code", "count": 45}, ...] } } }

# Multi-field aggregation
cass search "bug" --robot --aggregate agent,workspace,date

# Combine with filters
cass search "TODO" --agent claude --robot --aggregate workspace
Aggregation FieldDescription
agentGroup by agent type (claude_code, codex, cursor, etc.)
workspaceGroup by workspace/project path
dateGroup by date (YYYY-MM-DD)
match_typeGroup by match quality (exact, prefix, fuzzy)

Top 10 buckets returned per field, with other_count for remaining items.


Remote Sources (Multi-Machine Search)

Search across sessions from multiple machines via SSH/rsync.

Setup Wizard (Recommended)

cass sources setup

The wizard:

  1. Discovers SSH hosts from ~/.ssh/config
  2. Probes each for agent data and cass installation
  3. Optionally installs cass on remotes
  4. Indexes sessions on remotes
  5. Configures sources.toml
  6. Syncs data locally
cass sources setup --hosts css,csd,yto  # Specific hosts only
cass sources setup --dry-run             # Preview without changes
cass sources setup --resume              # Resume interrupted setup

Manual Setup

# Add a remote machine
cass sources add user@laptop.local --preset macos-defaults
cass sources add dev@workstation --path ~/.claude/projects --path ~/.codex/sessions

# List sources
cass sources list --json

# Sync sessions
cass sources sync
cass sources sync --source laptop --verbose

# Check connectivity
cass sources doctor
cass sources doctor --source laptop --json

# Path mappings (rewrite remote paths to local)
cass sources mappings list laptop
cass sources mappings add laptop --from /home/user/projects --to /Users/me/projects
cass sources mappings test laptop /home/user/projects/myapp/src/main.rs

# Remove source
cass sources remove laptop --purge -y

Configuration stored in ~/.config/cass/sources.toml (Linux) or ~/Library/Application Support/cass/sources.toml (macOS).


Robot Mode Deep Dive

Self-Documenting API

CASS teaches agents how to use itself:

# Quick capability check
cass capabilities --json
# Returns: features, connectors, limits

# Full API schema
cass introspect --json
# Returns: all commands, arguments, response shapes

# Topic-based docs (LLM-optimized)
cass robot-docs commands   # all commands and flags
cass robot-docs schemas    # response JSON schemas
cass robot-docs examples   # copy-paste invocations
cass robot-docs exit-codes # error handling
cass robot-docs guide      # quick-start walkthrough
cass robot-docs contracts  # API versioning
cass robot-docs sources    # remote sources guide

Forgiving Syntax (Agent-Friendly)

CASS auto-corrects common mistakes:

What you typeWhat CASS understands
cass serach "error"cass search "error" (typo corrected)
cass -robot -limit=5cass --robot --limit=5 (single-dash fixed)
cass --Robot --LIMIT 5cass --robot --limit 5 (case normalized)
cass find "auth"cass search "auth" (alias resolved)
cass --limt 5cass --limit 5 (Levenshtein <=2)

Command Aliases:

  • find, query, q, lookup, grepsearch
  • ls, list, info, summarystats
  • st, statestatus
  • reindex, idx, rebuildindex
  • show, get, readview
  • docs, help-robot, robotdocsrobot-docs

Output Formats

# Pretty-printed JSON (default)
cass search "error" --robot

# Streaming JSONL (header + one hit per line)
cass search "error" --robot-format jsonl

# Compact single-line JSON
cass search "error" --robot-format compact

# With performance metadata
cass search "error" --robot --robot-meta

Design principle: stdout = JSON only; diagnostics go to stderr.

Token Budget Management

LLMs have context limits. Control output size:

FlagEffect
--fields minimalOnly source_path, line_number, agent
--fields summaryAdds title, score
--fields score,title,snippetCustom field selection
--max-content-length 500Truncate long fields (UTF-8 safe)
--max-tokens 2000Soft budget (~4 chars/token)
--limit 5Cap number of results

Truncated fields include *_truncated: true indicator.


Structured Error Handling

Errors are JSON with actionable hints:

{
  "error": {
    "code": 3,
    "kind": "index_missing",
    "message": "Search index not found",
    "hint": "Run 'cass index --full' to build the index",
    "retryable": false
  }
}

Exit Codes

CodeMeaningAction
0SuccessParse stdout
1Health check failedRun cass index --full
2Usage errorFix syntax (hint provided)
3Index/DB missingRun cass index --full
4Network errorCheck connectivity
5Data corruptionRun cass index --full --force-rebuild
6Incompatible versionUpdate cass
7Lock/busyRetry later
8Partial resultIncrease --timeout
9Unknown errorCheck retryable flag

Search Modes

Three search modes, selectable with --mode flag:

ModeAlgorithmBest For
lexical (default)BM25 full-textExact term matching, code searches
semanticVector similarityConceptual queries, "find similar"
hybridReciprocal Rank FusionBalanced precision and recall
cass search "authentication" --mode lexical --robot
cass search "how to handle user login" --mode semantic --robot
cass search "auth error handling" --mode hybrid --robot

Hybrid combines lexical and semantic using RRF:

RRF_score = Σ 1 / (60 + rank_i)

Pipeline Mode (Chained Search)

Chain searches by piping session paths:

# Find sessions mentioning "auth", then search within those for "token"
cass search "authentication" --robot-format sessions | \
  cass search "refresh token" --sessions-from - --robot

# Build a filtered corpus from today's work
cass search --today --robot-format sessions > today_sessions.txt
cass search "bug fix" --sessions-from today_sessions.txt --robot

Use cases:

  • Drill-down: Broad search → narrow within results
  • Cross-reference: Find sessions with term A, then find term B within them
  • Corpus building: Save session lists for repeated searches

Query Language

Basic Queries

QueryMatches
errorMessages containing "error" (case-insensitive)
python errorBoth "python" AND "error"
"authentication failed"Exact phrase

Boolean Operators

OperatorExampleMeaning
ANDpython AND errorBoth terms required (default)
ORerror OR warningEither term matches
NOTerror NOT testFirst term, excluding second
-error -testShorthand for NOT
# Complex boolean query
cass search "authentication AND (error OR failure) NOT test" --robot

# Exclude test files
cass search "bug fix -test -spec" --robot

# Either error type
cass search "TypeError OR ValueError" --robot

Wildcard Patterns

PatternTypePerformance
auth*PrefixFast (edge n-grams)
*tionSuffixSlower (regex)
*config*SubstringSlowest (regex)

Match Types

Results include match_type:

TypeMeaningScore Boost
exactVerbatim matchHighest
prefixVia prefix expansionHigh
suffixVia suffix patternMedium
substringVia substring patternLower
fuzzyAuto-fallback (sparse results)Lowest

Auto-Fuzzy Fallback

When exact query returns <3 results, CASS automatically retries with wildcards:

  • auth*auth*
  • Results flagged with wildcard_fallback: true

Flexible Time Input

CASS accepts a wide variety of time/date formats:

FormatExamples
Relative-7d, -24h, -30m, -1w
Keywordsnow, today, yesterday
ISO 86012024-11-25, 2024-11-25T14:30:00Z
US Dates11/25/2024, 11-25-2024
Unix Timestamp1732579200 (seconds or milliseconds)

Ranking Modes

Cycle with F12 in TUI or use --ranking flag:

ModeFormulaBest For
Recent Heavyrelevance*0.3 + recency*0.7"What was I working on?"
Balancedrelevance*0.5 + recency*0.5General search
Relevancerelevance*0.8 + recency*0.2"Best explanation of X"
Match QualityPenalizes fuzzy matchesPrecise technical searches
Date NewestPure chronologicalRecent activity
Date OldestReverse chronological"When did I first..."

Score Components

  • Text Relevance (BM25): Term frequency, inverse document frequency, length normalization
  • Recency: Exponential decay (today ~1.0, last week ~0.7, last month ~0.3)
  • Match Exactness: Exact phrase=1.0, Prefix=0.9, Suffix=0.8, Substring=0.6, Fuzzy=0.4

Blended Scoring Formula

Final_Score = BM25_Score × Match_Quality + α × Recency_Factor
Modeα ValueEffect
Recent Heavy1.0Recency dominates
Balanced0.4Moderate recency boost
Relevance Heavy0.1BM25 dominates
Match Quality0.0Pure text matching

Supported Agents (11 Connectors)

AgentLocationFormat
Claude Code~/.claude/projectsJSONL
Codex~/.codex/sessionsJSONL (Rollout)
Gemini CLI~/.gemini/tmpJSON
ClineVS Code global storageTask directories
OpenCode.opencode directoriesSQLite
Amp~/.local/share/amp + VS CodeMixed
Cursor~/Library/Application Support/CursorSQLite (state.vscdb)
ChatGPT~/Library/Application Support/com.openai.chatJSON (v1 unencrypted)
Aider~/.aider.chat.history.md + per-projectMarkdown
Pi-Agent~/.pi/agent/sessionsJSONL with thinking
Factory (Droid)~/.factory/sessionsJSONL by workspace

Note: ChatGPT v2/v3 are AES-256-GCM encrypted (keychain access required). Legacy v1 unencrypted conversations are indexed automatically.


TUI Features (for Humans)

Launch with cass (no flags):

Keyboard Shortcuts

Navigation:

  • Up/Down: Move selection
  • Left/Right: Switch panes
  • Tab/Shift+Tab: Cycle focus
  • Enter: Open in $EDITOR
  • Space: Full-screen detail view
  • Home/End: Jump to first/last result
  • PageUp/PageDown: Scroll by page

Filtering:

  • F3: Agent filter
  • F4: Workspace filter
  • F5/F6: Time filters (from/to)
  • Shift+F3: Scope to current result's agent
  • Shift+F4: Clear workspace filter
  • Shift+F5: Cycle presets (24h/7d/30d/all)
  • Ctrl+Del: Clear all filters

Modes:

  • F2: Toggle theme (6 presets)
  • F7: Context window size (S/M/L/XL)
  • F9: Match mode (prefix/standard)
  • F12: Ranking mode
  • Ctrl+B: Toggle border style

Selection & Actions:

  • m: Toggle selection
  • Ctrl+A: Select all
  • A: Bulk actions menu
  • Ctrl+Enter: Add to queue
  • Ctrl+O: Open all queued
  • y: Copy path/content
  • Ctrl+Y: Copy all selected
  • /: Find in detail pane
  • n/N: Next/prev match

Views & Palette:

  • Ctrl+P: Command palette
  • 1-9: Load saved view
  • Shift+1-9: Save view to slot

Source Filtering (multi-machine):

  • F11: Cycle source filter (all/local/remote)
  • Shift+F11: Source selection menu

Global:

  • Ctrl+C: Quit
  • F1 or ?: Toggle help
  • Ctrl+Shift+R: Force re-index
  • Ctrl+Shift+Del: Reset all TUI state

Detail Pane Tabs

TabContentSwitch With
MessagesFull conversation with markdown[ / ]
SnippetsKeyword-extracted summaries[ / ]
RawUnformatted JSON/text[ / ]

Context Window Sizing

SizeCharactersUse Case
Small~200Quick scanning
Medium~400Default balanced view
Large~800Longer passages
XLarge~1600Full context, code review

Peek Mode (Ctrl+Space): Temporarily expand to XL without changing default.


Theme Presets

Cycle through 6 built-in themes with F2:

ThemeDescriptionBest For
DarkTokyo Night-inspired deep bluesLow-light environments
LightHigh-contrast light backgroundBright environments
CatppuccinWarm pastels, reduced eye strainAll-day coding
DraculaPurple-accented dark themePopular developer theme
NordArctic-inspired cool tonesCalm, focused work
High ContrastMaximum readabilityAccessibility needs

All themes validated against WCAG contrast requirements (4.5:1 minimum for text).

Role-Aware Message Styling

RoleVisual Treatment
UserBlue-tinted background, bold
AssistantGreen-tinted background
SystemGray/muted background
ToolOrange-tinted background

Saved Views

Save filter configurations to 9 slots for instant recall.

What Gets Saved:

  • Active filters (agent, workspace, time range)
  • Current ranking mode
  • The search query

Keyboard:

  • Shift+1 through Shift+9: Save current view
  • 1 through 9: Load view from slot

Via Command Palette: Ctrl+P → "Save/Load view"

Views persist in tui_state.json across sessions.


Density Modes

Control lines per search result. Cycle with Shift+D:

ModeLinesBest For
Compact3Maximum results visible
Cozy5Balanced view (default)
Spacious8Detailed preview

Bookmark System

Save important results with notes and tags:

In TUI: Press b to bookmark, add notes and tags.

Bookmark Structure:

  • title: Short description
  • source_path, line_number, agent, workspace
  • note: Your annotations
  • tags: Comma-separated labels
  • snippet: Extracted content

Storage: ~/.local/share/coding-agent-search/bookmarks.db (SQLite)


Optional Semantic Search

Local-only semantic search using MiniLM (no cloud):

Required files (place in data directory):

  • model.onnx
  • tokenizer.json
  • config.json
  • special_tokens_map.json
  • tokenizer_config.json

Vector index stored as vector_index/index-minilm-384.cvvi.

CASS does NOT auto-download models; you must manually install them.

Hash Embedder Fallback: When MiniLM not installed, CASS uses a hash-based embedder for approximate semantic similarity.


Watch Mode

Real-time index updates:

cass index --watch
  • Debounce: 2 seconds (wait for burst to settle)
  • Max wait: 5 seconds (force flush during continuous activity)
  • Incremental: Only re-scans modified files

TUI automatically starts watch mode in background.


Deduplication Strategy

CASS uses multi-layer deduplication:

  1. Message Hash: SHA-256 of (role + content + timestamp) - identical messages stored once
  2. Conversation Fingerprint: Hash of first N message hashes - detects duplicate files
  3. Search-Time Dedup: Results deduplicated by content similarity

Noise Filtering:

  • Empty messages and pure whitespace
  • System prompts (unless searching for them)
  • Repeated tool acknowledgments

Performance Characteristics

OperationLatency
Prefix search (cached)2-8ms
Prefix search (cold)40-60ms
Substring search80-200ms
Full reindex5-30s
Incremental reindex50-500ms
Health check<50ms

Memory: 70-140MB typical (50K messages) Disk: ~600 bytes/message (including n-gram overhead)


Response Shapes

Search Response:

{
  "query": "error",
  "limit": 10,
  "count": 5,
  "total_matches": 42,
  "hits": [
    {
      "source_path": "/path/to/session.jsonl",
      "line_number": 123,
      "agent": "claude_code",
      "workspace": "/projects/myapp",
      "title": "Authentication debugging",
      "snippet": "The error occurs when...",
      "score": 0.85,
      "match_type": "exact",
      "created_at": "2024-01-15T10:30:00Z"
    }
  ],
  "_meta": {
    "elapsed_ms": 12,
    "cache_hit": true,
    "wildcard_fallback": false,
    "next_cursor": "eyJ...",
    "index_freshness": { "stale": false, "age_seconds": 120 }
  }
}

Aggregation Response:

{
  "aggregations": {
    "agent": {
      "buckets": [
        {"key": "claude_code", "count": 120},
        {"key": "codex", "count": 85}
      ],
      "other_count": 15
    }
  }
}

Environment Variables

VariablePurpose
CASS_DATA_DIROverride data directory
CHATGPT_ENCRYPTION_KEYBase64 key for encrypted ChatGPT
PI_CODING_AGENT_DIROverride Pi-Agent sessions path
CASS_CACHE_SHARD_CAPPer-shard cache entries (default 256)
CASS_CACHE_TOTAL_CAPTotal cached hits (default 2048)
CASS_DEBUG_CACHE_METRICSEnable cache debug logging
CODING_AGENT_SEARCH_NO_UPDATE_PROMPTSkip update checks

Shell Completions

cass completions bash > ~/.local/share/bash-completion/completions/cass
cass completions zsh > "${fpath[1]}/_cass"
cass completions fish > ~/.config/fish/completions/cass.fish
cass completions powershell >> $PROFILE

API Contract & Versioning

cass api-version --json
# → { "version": "0.4.0", "contract_version": "1", "breaking_changes": [] }

cass introspect --json
# → Full schema: all commands, arguments, response types

Guaranteed Stable:

  • Exit codes and their meanings
  • JSON response structure for --robot output
  • Flag names and behaviors
  • _meta block format

Integration with CASS Memory (cm)

CASS provides episodic memory (raw sessions). CM extracts procedural memory (rules and playbooks):

# 1. CASS indexes raw sessions
cass index --full

# 2. Search for relevant past experience
cass search "authentication timeout" --robot --limit 10

# 3. CM reflects on sessions to extract rules
cm reflect

Troubleshooting

IssueSolution
"missing index"cass index --full
Stale warningRerun index or enable watch
Empty resultsCheck cass stats --json, verify connectors detected
JSON parsing errorsUse --robot-format compact
Watch not triggeringCheck watch_state.json, verify file event support
Reset TUI statecass tui --reset-state or Ctrl+Shift+Del

Installation

# One-liner install
curl -fsSL https://raw.githubusercontent.com/Dicklesworthstone/coding_agent_session_search/main/install.sh \
  | bash -s -- --easy-mode --verify

# Windows
irm https://raw.githubusercontent.com/Dicklesworthstone/coding_agent_session_search/main/install.ps1 | iex

Integration with Flywheel

ToolIntegration
CMCASS provides episodic memory, CM extracts procedural memory
NTMRobot mode flags for searching past sessions
Agent MailSearch threads across agent history
BVCross-reference beads with past solutions

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.29%
按下载量换算2,446

Claude

30.13%
按下载量换算2,088

Cursor

18.46%
按下载量换算1,279

Gemini CLI

9.86%
按下载量换算683

安全审计

Gen Agent Trust Hub

未通过

Socket

未通过

Snyk

未通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/dicklesworthstone/coding_agent_session_search --skill cass 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills