fix: improve skill system prompts and simplify tool descriptions

- Simplify skill-creator installation flow
- Refine skill selection prompt for better matching
- Add parameter alias and env variable hints for tools
- Skip linkai-agent when unconfigured
- Create skills/ dir in workspace on init
This commit is contained in:
zhayujie
2026-02-08 18:59:59 +08:00
parent cea7fb7490
commit 6c218331b1
13 changed files with 102 additions and 292 deletions

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@@ -90,7 +90,7 @@ bash <(curl -sS https://cdn.link-ai.tech/code/cow/run.sh)
项目支持国内外主流厂商的模型接口,可选模型及配置说明参考:[模型说明](#模型说明)。
> Agent模式下推荐使用以下模型可根据效果及成本综合选择MiniMAx(MiniMax-M2.1)、GLM(glm-4.7)、Qwen(qwen3-max)、Claude(claude-opus-4-6、claude-sonnet-4-5、claude-sonnet-4-0)、Gemini(gemini-3-flash-preview、gemini-3-pro-preview)
> Agent模式下推荐使用以下模型可根据效果及成本综合选择GLM(glm-4.7)、MiniMAx(MiniMax-M2.1)、Qwen(qwen3-max)、Claude(claude-opus-4-6、claude-sonnet-4-5、claude-sonnet-4-0)、Gemini(gemini-3-flash-preview、gemini-3-pro-preview)
同时支持使用 **LinkAI平台** 接口,可灵活切换 OpenAI、Claude、Gemini、DeepSeek、Qwen、Kimi 等多种常用模型并支持知识库、工作流、插件等Agent能力参考 [接口文档](https://docs.link-ai.tech/platform/api)。
@@ -173,7 +173,7 @@ pip3 install -r requirements-optional.txt
<details>
<summary>2. 其他配置</summary>
+ `model`: 模型名称Agent模式下推荐使用 `MiniMax-M2.1``glm-4.7``qwen3-max``claude-opus-4-6``claude-sonnet-4-5``claude-sonnet-4-0``gemini-3-flash-preview``gemini-3-pro-preview`,全部模型名称参考[common/const.py](https://github.com/zhayujie/chatgpt-on-wechat/blob/master/common/const.py)文件
+ `model`: 模型名称Agent模式下推荐使用 `glm-4.7``MiniMax-M2.1``qwen3-max``claude-opus-4-6``claude-sonnet-4-5``claude-sonnet-4-0``gemini-3-flash-preview``gemini-3-pro-preview`,全部模型名称参考[common/const.py](https://github.com/zhayujie/chatgpt-on-wechat/blob/master/common/const.py)文件
+ `character_desc`普通对话模式下的机器人系统提示词。在Agent模式下该配置不生效由工作空间中的文件内容构成。
+ `subscribe_msg`订阅消息公众号和企业微信channel中请填写当被订阅时会自动回复 可使用特殊占位符。目前支持的占位符有{trigger_prefix}在程序中它会自动替换成bot的触发词。
</details>

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@@ -157,96 +157,66 @@ def _build_identity_section(base_persona: Optional[str], language: str) -> List[
def _build_tooling_section(tools: List[Any], language: str) -> List[str]:
"""构建工具说明section"""
"""Build tooling section with concise tool list and call style guide."""
# One-line summaries for known tools (details are in the tool schema)
core_summaries = {
"read": "读取文件内容",
"write": "创建或覆盖文件",
"edit": "精确编辑文件",
"ls": "列出目录内容",
"grep": "搜索文件内容",
"find": "按模式查找文件",
"bash": "执行shell命令",
"terminal": "管理后台进程",
"web_search": "网络搜索",
"web_fetch": "获取URL内容",
"browser": "控制浏览器",
"memory_search": "搜索记忆",
"memory_get": "读取记忆内容",
"env_config": "管理API密钥和技能配置",
"scheduler": "管理定时任务和提醒",
"send": "发送文件给用户",
}
# Preferred display order
tool_order = [
"read", "write", "edit", "ls", "grep", "find",
"bash", "terminal",
"web_search", "web_fetch", "browser",
"memory_search", "memory_get",
"env_config", "scheduler", "send",
]
# Build name -> summary mapping for available tools
available = {}
for tool in tools:
name = tool.name if hasattr(tool, 'name') else str(tool)
available[name] = core_summaries.get(name, "")
# Generate tool lines: ordered tools first, then extras
tool_lines = []
for name in tool_order:
if name in available:
summary = available.pop(name)
tool_lines.append(f"- {name}: {summary}" if summary else f"- {name}")
for name in sorted(available):
summary = available[name]
tool_lines.append(f"- {name}: {summary}" if summary else f"- {name}")
lines = [
"## 工具系统",
"",
"你可以使用以下工具来完成任务。工具名称大小写敏感的,请严格按列表中的名称调用。",
"可用工具(名称大小写敏感严格按列表调用):",
"\n".join(tool_lines),
"",
"### 可用工具",
"工具调用风格:",
"",
"- 在多步骤任务、敏感操作或用户要求时简要解释决策过程",
"- 持续推进直到任务完成,完成后向用户报告结果。",
"- 回复中涉及密钥、令牌等敏感信息必须脱敏。",
"",
]
# 工具分类和排序
tool_categories = {
"文件操作": ["read", "write", "edit", "ls", "grep", "find"],
"命令执行": ["bash", "terminal"],
"网络搜索": ["web_search", "web_fetch", "browser"],
"记忆系统": ["memory_search", "memory_get"],
"其他": []
}
# 构建工具映射
tool_map = {}
tool_descriptions = {
"read": "读取文件内容",
"write": "创建新文件或完全覆盖现有文件(会删除原内容!追加内容请用 edit。注意单次 write 内容不要超过 10KB超大文件请分步创建",
"edit": "精确编辑文件(追加、修改、删除部分内容)",
"ls": "列出目录内容",
"grep": "在文件中搜索内容",
"find": "按照模式查找文件",
"bash": "执行shell命令",
"terminal": "管理后台进程",
"web_search": "网络搜索(使用搜索引擎)",
"web_fetch": "获取URL内容",
"browser": "控制浏览器",
"memory_search": "搜索记忆文件",
"memory_get": "获取记忆文件内容",
"calculator": "计算器",
"current_time": "获取当前时间",
}
for tool in tools:
tool_name = tool.name if hasattr(tool, 'name') else str(tool)
tool_desc = tool.description if hasattr(tool, 'description') else tool_descriptions.get(tool_name, "")
tool_map[tool_name] = tool_desc
# 按分类添加工具
for category, tool_names in tool_categories.items():
category_tools = [(name, tool_map.get(name, "")) for name in tool_names if name in tool_map]
if category_tools:
lines.append(f"**{category}**:")
for name, desc in category_tools:
if desc:
lines.append(f"- `{name}`: {desc}")
else:
lines.append(f"- `{name}`")
del tool_map[name] # 移除已添加的工具
lines.append("")
# 添加其他未分类的工具
if tool_map:
lines.append("**其他工具**:")
for name, desc in sorted(tool_map.items()):
if desc:
lines.append(f"- `{name}`: {desc}")
else:
lines.append(f"- `{name}`")
lines.append("")
# 工具使用指南
lines.extend([
"### 工具调用风格",
"",
"默认规则: 对于常规、低风险的工具调用,直接调用即可,无需叙述。",
"",
"需要叙述的情况:",
"- 多步骤、复杂的任务",
"- 敏感操作(如删除文件)",
"- 用户明确要求解释过程",
"",
"叙述要求: 保持简洁、信息密度高,避免重复显而易见的步骤。",
"",
"完成标准:",
"- 确保用户的需求得到实际解决,而不仅仅是制定计划。",
"- 当任务需要多次工具调用时,持续推进直到完成, 解决完后向用户报告结果或回复用户的问题",
"- 每次工具调用后,评估是否已获得足够信息来推进或完成任务",
"- 避免重复调用相同的工具和相同参数获取相同的信息,除非用户明确要求",
"",
"**安全提醒**: 回复中涉及密钥、令牌、密码等敏感信息时,必须脱敏处理,禁止直接显示完整内容。",
"",
])
return lines
@@ -265,16 +235,17 @@ def _build_skills_section(skill_manager: Any, tools: Optional[List[Any]], langua
break
lines = [
"## 技能系统",
"## 技能系统mandatory",
"",
"在回复之前:扫描下方 <available_skills> 中的 <description> 条目。",
"",
f"- 如果恰好有一个技能明确适用:使用 `{read_tool_name}` 工具读取其 <location> 路径下的 SKILL.md 文件,然后遵循它",
"- 如果多个技能都适用选择最具体的一个,然后读取并遵循",
"- 如果没有明确适用的:不要读取任何 SKILL.md",
f"- 如果恰好有一个技能(Skill)明确适用:使用 `{read_tool_name}` 读取其 <location> 的 SKILL.md然后严格遵循它",
"- 如果多个技能都适用选择最匹配的一个,如果没有明确适用的则不要读取任何 SKILL.md",
"- 读取 SKILL.md 后直接按其指令执行,无需多余的预检查",
"",
"**约束**: 永远不要一次性读取多个技能只在选择后再读取。",
"**注意**: 永远不要一次性读取多个技能只在选择后再读取。技能和工具不同必须先读取其SKILL.md并按照文件内容运行。",
"",
"以下是可用技能:"
]
# 添加技能列表通过skill_manager获取

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@@ -57,6 +57,10 @@ def ensure_workspace(workspace_dir: str, create_templates: bool = True) -> Works
# 创建memory子目录
os.makedirs(memory_dir, exist_ok=True)
# 创建skills子目录 (for workspace-level skills installed by agent)
skills_dir = os.path.join(workspace_dir, "skills")
os.makedirs(skills_dir, exist_ok=True)
# 如果需要,创建模板文件
if create_templates:

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@@ -708,7 +708,6 @@ class AgentStreamExecutor:
if not tool_id:
import uuid
tool_id = f"call_{uuid.uuid4().hex[:24]}"
logger.debug(f"⚠️ Tool call missing ID for '{tc.get('name')}', generated fallback: {tool_id}")
try:
# Safely get arguments, handle None case

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@@ -23,18 +23,15 @@ def format_skills_for_prompt(skills: List[Skill]) -> str:
return ""
lines = [
"\n\nThe following skills provide specialized instructions for specific tasks.",
"Use the read tool to load a skill's file when the task matches its description.",
"",
"<available_skills>",
]
for skill in visible_skills:
lines.append(" <skill>")
lines.append(f" <name>{_escape_xml(skill.name)}</name>")
lines.append(f" <description>{_escape_xml(skill.description)}</description>")
lines.append(f" <location>{_escape_xml(skill.file_path)}</location>")
lines.append(f" <base_dir>{_escape_xml(skill.base_dir)}</base_dir>")
lines.append(" </skill>")
lines.append("</available_skills>")

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@@ -188,16 +188,14 @@ class SkillLoader:
import json
config_path = os.path.join(skill_dir, "config.json")
template_path = os.path.join(skill_dir, "config.json.template")
# Try to load config.json or fallback to template
config_file = config_path if os.path.exists(config_path) else template_path
if not os.path.exists(config_file):
return default_description
# Without config.json, skip this skill entirely (return empty to trigger exclusion)
if not os.path.exists(config_path):
logger.debug(f"[SkillLoader] linkai-agent skipped: no config.json found")
return ""
try:
with open(config_file, 'r', encoding='utf-8') as f:
with open(config_path, 'r', encoding='utf-8') as f:
config = json.load(f)
apps = config.get("apps", [])

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@@ -20,10 +20,11 @@ class Bash(BaseTool):
name: str = "bash"
description: str = f"""Execute a bash command in the current working directory. Returns stdout and stderr. Output is truncated to last {DEFAULT_MAX_LINES} lines or {DEFAULT_MAX_BYTES // 1024}KB (whichever is hit first). If truncated, full output is saved to a temp file.
IMPORTANT SAFETY GUIDELINES:
- You can freely create, modify, and delete files within the current workspace
- For operations outside the workspace or potentially destructive commands (rm -rf, system commands, etc.), always explain what you're about to do and ask for user confirmation first
- When in doubt, describe the command's purpose and ask for permission before executing"""
ENVIRONMENT: All API keys from env_config are auto-injected. Use $VAR_NAME directly.
SAFETY:
- Freely create/modify/delete files within the workspace
- For destructive and out-of-workspace commands, explain and confirm first"""
params: dict = {
"type": "object",
@@ -92,13 +93,7 @@ IMPORTANT SAFETY GUIDELINES:
logger.debug("[Bash] python-dotenv not installed, skipping .env loading")
except Exception as e:
logger.debug(f"[Bash] Failed to load .env: {e}")
# Debug logging
logger.debug(f"[Bash] CWD: {self.cwd}")
logger.debug(f"[Bash] Command: {command[:500]}")
logger.debug(f"[Bash] OPENAI_API_KEY in env: {'OPENAI_API_KEY' in env}")
logger.debug(f"[Bash] SHELL: {env.get('SHELL', 'not set')}")
logger.debug(f"[Bash] Python executable: {sys.executable}")
# getuid() only exists on Unix-like systems
if hasattr(os, 'getuid'):
logger.debug(f"[Bash] Process UID: {os.getuid()}")

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@@ -202,7 +202,8 @@ class EnvConfig(BaseTool):
"key": key,
"value": self._mask_value(value),
"description": description,
"exists": True
"exists": True,
"note": f"Value is masked for security. In bash, use ${key} directly — it is auto-injected."
})
else:
return ToolResult.success({

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@@ -67,10 +67,12 @@ class Read(BaseTool):
:param args: Contains file path and optional offset/limit parameters
:return: File content or error message
"""
path = args.get("path", "").strip()
# Support 'location' as alias for 'path' (LLM may use it from skill listing)
path = args.get("path", "") or args.get("location", "")
path = path.strip() if isinstance(path, str) else ""
offset = args.get("offset")
limit = args.get("limit")
if not path:
return ToolResult.fail("Error: path parameter is required")

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@@ -1,6 +1,6 @@
{
"channel_type": "web",
"model": "MiniMax-M2.1",
"model": "glm-4.7",
"claude_api_key": "",
"claude_api_base": "https://api.anthropic.com/v1",
"open_ai_api_key": "",

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@@ -1,91 +0,0 @@
---
name: bocha-search
description: High-quality web search with AI-optimized results. Use when user needs to search the internet for current information, news, or research topics.
homepage: https://open.bocha.cn/
metadata:
emoji: 🔍
requires:
bins: ["curl"]
env: ["BOCHA_API_KEY"]
primaryEnv: "BOCHA_API_KEY"
---
# Bocha Search
High-quality web search powered by Bocha AI, optimized for AI consumption. Returns web pages, images, and detailed metadata.
## Setup
This skill requires a Bocha API key. If not configured:
1. Visit https://open.bocha.cn to get an API key
2. Set the key using: `env_config(action="set", key="BOCHA_API_KEY", value="your-key")`
3. Or manually add to `~/cow/.env`: `BOCHA_API_KEY=your-key`
## Usage
**Important**: Scripts are located relative to this skill's base directory.
When you see this skill in `<available_skills>`, note the `<base_dir>` path.
```bash
# General pattern:
bash "<base_dir>/scripts/search.sh" "<query>" [count] [freshness] [summary]
# Parameters:
# - query: Search query (required)
# - count: Number of results (1-50, default: 10)
# - freshness: Time range filter (default: noLimit)
# Options: noLimit, oneDay, oneWeek, oneMonth, oneYear, YYYY-MM-DD..YYYY-MM-DD
# - summary: Include text summary (true/false, default: false)
```
## Examples
### Basic search
```bash
bash "<base_dir>/scripts/search.sh" "latest AI news"
```
### Search with more results
```bash
bash "<base_dir>/scripts/search.sh" "Python tutorials" 20
```
### Search recent content with summary
```bash
bash "<base_dir>/scripts/search.sh" "阿里巴巴ESG报告" 10 oneWeek true
```
### Search specific date range
```bash
bash "<base_dir>/scripts/search.sh" "tech news" 15 "2025-01-01..2025-02-01"
```
## Response Format
The API returns structured data compatible with Bing Search API:
**Web Pages** (in `data.webPages.value`):
- `name`: Page title
- `url`: Page URL
- `snippet`: Short description
- `summary`: Full text summary (if requested)
- `siteName`: Website name
- `siteIcon`: Website icon URL
- `datePublished`: Publication date (UTC+8)
- `language`: Page language
**Images** (in `data.images.value`):
- `contentUrl`: Image URL
- `hostPageUrl`: Source page URL
- `width`, `height`: Image dimensions
- `thumbnailUrl`: Thumbnail URL
## Notes
- **Optimized for AI**: Results include summaries and structured metadata
- **Time range**: Use `noLimit` for best results (algorithm auto-optimizes time range)
- **Timeout**: 30 seconds
- **Rate limits**: Check your API plan at https://open.bocha.cn
- **Response format**: Compatible with Bing Search API for easy integration

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@@ -1,75 +0,0 @@
#!/usr/bin/env bash
# Bocha Web Search API wrapper
# API Docs: https://open.bocha.cn/
set -euo pipefail
query="${1:-}"
count="${2:-10}"
freshness="${3:-noLimit}"
summary="${4:-false}"
if [ -z "$query" ]; then
echo '{"error": "Query is required", "usage": "bash search.sh <query> [count] [freshness] [summary]"}'
exit 1
fi
if [ -z "${BOCHA_API_KEY:-}" ]; then
echo '{"error": "BOCHA_API_KEY environment variable is not set", "help": "Visit https://open.bocha.cn to get an API key"}'
exit 1
fi
# Validate count (1-50)
if ! [[ "$count" =~ ^[0-9]+$ ]] || [ "$count" -lt 1 ] || [ "$count" -gt 50 ]; then
count=10
fi
# Build JSON request body
request_body=$(cat <<EOF
{
"query": "$query",
"count": $count,
"freshness": "$freshness",
"summary": $summary
}
EOF
)
# Call Bocha API
response=$(curl -sS --max-time 30 \
-X POST \
-H "Authorization: Bearer $BOCHA_API_KEY" \
-H "Content-Type: application/json" \
-H "Accept: application/json" \
-d "$request_body" \
"https://api.bocha.cn/v1/web-search" 2>&1)
curl_exit_code=$?
if [ $curl_exit_code -ne 0 ]; then
echo "{\"error\": \"Failed to call Bocha API\", \"details\": \"$response\"}"
exit 1
fi
# Simple JSON validation - check if response starts with { or [
if [[ ! "$response" =~ ^[[:space:]]*[\{\[] ]]; then
echo "{\"error\": \"Invalid JSON response from API\", \"response\": \"$response\"}"
exit 1
fi
# Extract API code using grep and sed (basic JSON parsing)
api_code=$(echo "$response" | grep -o '"code"[[:space:]]*:[[:space:]]*[0-9]*' | grep -o '[0-9]*' | head -1)
# If code extraction failed or code is not 200, check for error
if [ -n "$api_code" ] && [ "$api_code" != "200" ]; then
# Try to extract error message
api_msg=$(echo "$response" | grep -o '"msg"[[:space:]]*:[[:space:]]*"[^"]*"' | sed 's/"msg"[[:space:]]*:[[:space:]]*"\(.*\)"/\1/' | head -1)
if [ -z "$api_msg" ]; then
api_msg="Unknown error"
fi
echo "{\"error\": \"API returned error\", \"code\": $api_code, \"message\": \"$api_msg\"}"
exit 1
fi
# Return the full response
echo "$response"

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@@ -1,6 +1,6 @@
---
name: skill-creator
description: Create or update skills. Use when designing, structuring, or packaging skills with scripts, references, and assets. COW simplified version - skills are used locally in workspace.
description: Create, install, or update skills in the workspace. Use when (1) installing a skill from a URL or remote source, (2) creating a new skill from scratch, (3) updating or restructuring existing skills. Always use this skill for any skill installation or creation task.
license: Complete terms in LICENSE.txt
---
@@ -93,9 +93,16 @@ Do NOT create auxiliary documentation files:
**Critical Rule**: Only create files that the agent will actually execute (scripts) or that are too large for SKILL.md (references). Documentation, examples, and guides ALL belong in SKILL.md.
## Skill Creation Process
## Installing a Skill from URL
**COW Simplified Version** - Skills are used locally, no packaging/sharing needed.
1. Fetch the URL content (curl or web-fetch skill)
2. Extract `name` from YAML frontmatter
3. Create directory `<workspace>/skills/<name>/` and save content as `SKILL.md`
4. Check the saved SKILL.md for an installation/setup section — if it defines additional steps (e.g., downloading scripts, installing dependencies), execute them; otherwise installation is complete
The `<workspace>` is the working directory from the "工作空间" section.
## Skill Creation Process (from scratch)
1. **Understand** - Clarify use cases with concrete examples
2. **Plan** - Identify needed scripts, references, assets
@@ -181,11 +188,13 @@ scripts/init_skill.py <skill-name> --path <output-directory> [--resources script
Examples:
```bash
scripts/init_skill.py my-skill --path ~/cow/skills
scripts/init_skill.py my-skill --path ~/cow/skills --resources scripts,references
scripts/init_skill.py my-skill --path ~/cow/skills --resources scripts --examples
scripts/init_skill.py my-skill --path <workspace>/skills
scripts/init_skill.py my-skill --path <workspace>/skills --resources scripts,references
scripts/init_skill.py my-skill --path <workspace>/skills --resources scripts --examples
```
Where `<workspace>` is your workspace directory shown in the "工作空间" section of the system prompt.
The script:
- Creates the skill directory at the specified path
@@ -195,7 +204,7 @@ The script:
After initialization, customize the SKILL.md and add resources as needed. If you used `--examples`, replace or delete placeholder files.
**Important**: Always create skills in workspace directory (`~/cow/skills`), NOT in project directory.
**Important**: Always create skills in workspace skills directory (`<workspace>/skills`), NOT in project directory. Check the "工作空间" section for the actual workspace path.
### Step 4: Edit the Skill
@@ -335,7 +344,7 @@ scripts/quick_validate.py <path/to/skill-folder>
Example:
```bash
scripts/quick_validate.py ~/cow/skills/weather-api
scripts/quick_validate.py <workspace>/skills/weather-api
```
Validation checks: