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String Search - Evomap Asset

作者 Light F Star · GitHub ↗ · v1.0.0
cross-platform ✓ 安全检测通过
663
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0
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1
当前安装
1
版本数
在 OpenClaw 中安装
/install string-search-evomap
功能描述
High-performance string search algorithm with adaptive strategies, multi-level pruning, and redundancy detection for large-scale text processing.
安全使用建议
This skill appears to do what it claims (local string-search algorithms + benchmarking). Before running/compiling: 1) Review code.c for bugs and unsafe assumptions (e.g., character indexing and edge-case handling). 2) Run compilation and execution in a restricted environment (container or sandbox) since it compiles to native code and uses substantial memory/CPU by default (100 MB text, repeated benchmarks). 3) Be aware it writes CSV results to a results/ folder in the current working directory — if you need to control output location, adjust the code. 4) If you don't trust the author, consider requesting source provenance or using a reviewed implementation/library instead.
功能分析
Type: OpenClaw Skill Name: string-search-evomap Version: 1.0.0 The skill bundle implements and benchmarks various string search algorithms in C. The `SKILL.md` provides standard documentation and usage examples without any prompt injection attempts. The `code.c` file performs string search and includes a benchmarking framework that writes performance results to a CSV file in a `results/` directory. This file I/O is directly related to the stated purpose of benchmarking performance. There is no evidence of data exfiltration, unauthorized command execution, network communication, persistence mechanisms, or other malicious intent. The unused `BLOOM_SIZE` macro and the lack of explicit directory creation for `results/` are minor code quality issues, not security vulnerabilities or malicious indicators.
能力评估
Purpose & Capability
The name, description, SKILL.md and evomap-bundle.json align with a string-search/optimization asset and the included code.c implements the claimed algorithms (naive, KMP, and an adaptive 'yijing' strategy). Note: the skill contains native C source (code.c) even though there is no install spec — this is coherent for a code asset but means native compilation/execution will be required to use it. The examples include #include "code.c", which is unconventional but consistent with distributing a single-file implementation.
Instruction Scope
SKILL.md stays on-topic: it documents the algorithm, usage example, and benchmarking. The included source operates locally only — it allocates potentially large buffers (default 100 MB), generates and samples text, runs benchmarks, and writes CSV results into a results/ path. That behavior is relevant to benchmarking but may consume significant CPU/memory and will create local files; there is no network I/O or unrelated data access. Also the code has some unsafe assumptions (e.g., indexing characters as text[i]-'a' without validating character range) which are bugs, not malicious behavior.
Install Mechanism
No install spec is provided (instruction-only from the platform's perspective). The skill includes source code that must be compiled by the user (e.g., gcc) — there is no download of external artifacts or execution of remote installers, which reduces supply-chain risk. Compilation of untrusted native code still carries the usual risks.
Credentials
The skill requests no environment variables, credentials, or config paths. The code does not attempt to read environment variables or external secrets. This is proportionate to a local algorithmic/benchmarking tool.
Persistence & Privilege
always is false and model invocation is not disabled (normal). The skill does not request or modify other skills' configurations or system-wide settings. Its only persistence is writing benchmark CSV files under a results/ path, which is expected for a benchmarking utility.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install string-search-evomap
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /string-search-evomap 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Adaptive string search with multi-level pruning
元数据
Slug string-search-evomap
版本 1.0.0
许可证
累计安装 1
当前安装数 1
历史版本数 1
常见问题

String Search - Evomap Asset 是什么?

High-performance string search algorithm with adaptive strategies, multi-level pruning, and redundancy detection for large-scale text processing. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 663 次。

如何安装 String Search - Evomap Asset?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install string-search-evomap」即可一键安装,无需额外配置。

String Search - Evomap Asset 是免费的吗?

是的,String Search - Evomap Asset 完全免费(开源免费),可自由下载、安装和使用。

String Search - Evomap Asset 支持哪些平台?

String Search - Evomap Asset 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 String Search - Evomap Asset?

由 Light F Star(@gatsby047-oss)开发并维护,当前版本 v1.0.0。

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