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fossilfossil 搜索

Agent Skill

fossil 用于查找、检索和筛选相关信息,适合在 OpenClaw 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

1,905

周安装

81

GitHub Stars

公开资料未说明

下载量

667
OpenClaw

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

MIT-0

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:fossil(fossil 搜索)
来源仓库:https://github.com/heyrtl/fossil
安装命令:
openclaw skills install fossil
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install fossil

简介

实现 AI Agent 语义故障记忆与历史失败检索。

  • 在行动前搜索过往错误以避免重复发生。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • 记录新失败案例与解决方案形成知识库。
  • 适合需要长期学习改进的智能体部署环境。
  • 数据存储于本地需定期清理过期条目。fossil 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
fossil
description
>
version
0.1.0
metadata
openclaw
emoji
🦴
homepage
https://github.com/heyrtl/fossil
install
package
@openfossil/mcp
bins
[openfossil-mcp]

FOSSIL — Semantic Failure Memory

FOSSIL gives your agent a memory for reasoning failures.

Before acting, search for similar past failures. After a failure, record it with the resolution so you never hit the same mistake twice.

The community API at fossil-api.hello-76a.workers.dev is live and free. No API key required. Embeddings run on Cloudflare Workers AI.


Setup

Add to your openclaw.json:

{
  "mcp": {
    "servers": [
      {
        "name": "fossil",
        "command": "npx",
        "args": ["@openfossil/mcp"],
        "env": {
          "FOSSIL_API_URL": "https://fossil-api.hello-76a.workers.dev"
        }
      }
    ]
  }
}

Restart your gateway. FOSSIL tools are now available.


Tools

ToolWhen to use
fossil_searchBefore any non-trivial step — find similar past failures
fossil_recordAfter any failure — capture what went wrong and what fixed it
fossil_getRetrieve a specific fossil by ID
fossil_listBrowse your recent fossil archive

When to search

Call fossil_search before any step involving:

  • Parsing or extracting structured data from LLM output
  • Calling external APIs or tools
  • Multi-step file operations
  • Browser automation
  • Sending messages or emails on behalf of the user
  • Any task domain that has failed before in this workspace

Pass a natural language description of what you are about to attempt. Read the returned resolutions before proceeding.

fossil_search("extracting JSON fields from an invoice document")

When to record

Call fossil_record after any failure, before retrying.

fossil_record(
  situation="sending a reply email to insurance company",
  failure_type="misinterpretation",
  failure="agent replied to wrong thread — matched subject line not sender",
  severity="major",
  resolution_type="prompt_change",
  resolution="added: always match by sender address, not subject line",
  framework="openclaw",
  model="claude-opus-4-5"
)

Failure types

TypeWhen to use
misinterpretationMisread the task or user intent
hallucinated_toolCalled a tool that doesn't exist or wrong signature
format_failureOutput didn't match expected schema or format
context_lossForgot earlier context in a multi-step run
infinite_loopGot stuck in a reasoning or tool-call cycle
premature_terminationDeclared done when the task was incomplete
scope_creepDid more than asked, touched things it shouldn't
ambiguity_paralysisCouldn't proceed due to underspecified input
tool_misuseRight tool, wrong usage or arguments
adversarial_inputExternal input hijacked agent behavior
compounding_errorSmall error amplified across multiple steps

Resolution types

TypeWhen to use
prompt_changeModified the system or user prompt
tool_fixFixed the tool definition or implementation
retryRetrying without changes succeeded
human_overrideHuman intervened directly
context_injectionInjected missing context into the agent window
schema_correctionFixed the output schema or parser
step_decompositionBroke the failing step into smaller steps
input_sanitizationCleaned or validated input before processing

Add to AGENTS.md

## Failure Memory (FOSSIL)

Before any non-trivial task step, call fossil_search with a description
of what you are about to attempt. Read returned resolutions before acting.

After any failure, call fossil_record before retrying. Capture:
- what you were attempting
- what went wrong (use the FOSSIL failure taxonomy)
- what fixed it

This builds a persistent failure memory across all sessions.

Common OpenClaw failure patterns

SituationFailure type
Sent message to wrong contactmisinterpretation
Browser clicked wrong elementtool_misuse
Email reply used wrong tonemisinterpretation
Scheduled task ran at wrong timeformat_failure
Stuck waiting for a responseinfinite_loop
Acted on wrong file or accountscope_creep
Adversarial email hijacked behavioradversarial_input
Stopped mid-task without finishingpremature_termination

Resources

  • Docs: https://github.com/heyrtl/fossil/tree/main/docs
  • Protocol: https://github.com/heyrtl/fossil/blob/main/FOSSIL.md
  • REST API: https://fossil-api.hello-76a.workers.dev/health
  • Python SDK: pip install openfossil
  • Source: https://github.com/heyrtl/fossil

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

78.08%
按下载量换算521

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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

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