Install
$ agentstack add skill-parcadei-continuous-claude-v3-leann-search ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
LEANN Semantic Search
Use LEANN for meaning-based code search instead of grep.
When to Use
- Conceptual queries: "how does authentication work", "where are errors handled"
- Understanding patterns: "streaming implementation", "provider architecture"
- Finding related code: code that's semantically similar but uses different terms
When NOT to Use
- Exact matches: Use Grep for
class Foo,def bar, specific identifiers - Regex patterns: Use Grep for
error.*handling,import.*from - File paths: Use Glob for
*.test.ts,src/**/*.py
Commands
# Search the current project's index
leann search "" --top-k 5
# List available indexes
leann list
# Example
leann search rigg "how do providers handle streaming" --top-k 5
MCP Tool (in Claude Code)
leann_search(index_name="rigg", query="your semantic query", top_k=5)
Rebuilding the Index
When codebase changes significantly:
cd /path/to/project
leann build --docs src tests scripts \
--file-types '.ts,.py,.md,.json' \
--no-recompute --no-compact \
--embedding-mode sentence-transformers \
--embedding-model all-MiniLM-L6-v2
How It Works
- LEANN uses sentence embeddings to understand meaning
- Searches find conceptually similar code, not just text matches
- Results ranked by semantic similarity score (0-1)
Grep vs LEANN Decision
| Query Type | Tool | Example | |------------|------|---------| | Natural language | LEANN | "how does caching work" | | Class/function name | Grep | "class CacheManager" | | Pattern matching | Grep | error\|warning | | Find implementations | LEANN | "rate limiting logic" |
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: parcadei
- Source: parcadei/Continuous-Claude-v3
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.