Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add konglong87/superPM --skill pm-competitorgit clone --depth 1 https://github.com/konglong87/superPMWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/konglong87/superpm/pm-competitor)<a href="https://agentmods.dev/skills/konglong87/superpm/pm-competitor"><img src="https://agentmods.dev/badge/skills/konglong87/superpm/pm-competitor.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00088 | $0.02225 |
| Opus 5 | $0.00044 | $0.01112 |
| Sonnet 5 | $0.00018 | $0.00445 |
| Haiku 4.5 | $0.00009 | $0.00222 |
Grade A, and why
pm-competitor scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 239 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Preamble (run first)
bash "$(dirname "${BASH_SOURCE[0]}")/../../check-update.sh" 2>/dev/null || true
# 创建需求调研目录
mkdir -p docs/01-需求调研
# 检查前置
if [ -f "docs/01-需求调研/市场调研报告.md" ]; then
echo "✅ 市场调研报告 - 已找到"
else
echo "⏳ 市场调研报告 - 未找到(可选,缺失时由本技能建立基线)"
fi
if [ -f "docs/01-需求调研/竞品监控月报.md" ]; then
echo "🔁 竞品监控月报 - 已存在(将基于上期做本期对比)"
else
echo "🆕 竞品监控月报 - 首次建立基线"
fi
跨 Agent 交互规则
当流程要求与用户交互时:
- 如果当前环境支持 AskUserQuestion,使用 AskUserQuestion(最佳体验)。
- 如果当前环境不支持 AskUserQuestion,必须用普通聊天消息提出同样问题。
- 一次只问一个问题。
- 提问后必须停止当前回合,等待用户回答(STOP and WAIT)。
- 不得在用户回答前生成文档、写入 docs。
- 已有 docs 文件不能替代本轮用户回答。
适用场景
- 用户说"监控竞品""竞品情报""竞品怎么变""竞品月报""竞品异动预警"
- 与
pm-market/pm-search区分:那些是一次性研究;本技能是周期性监控 + 异动预警,强调基线与对比。
执行流程
步骤 1: 确定监控对象与维度(主 agent - 用户交互)
使用 AskUserQuestion 询问:
🎯 竞品监控设置
你想监控哪些竞品?监控哪些维度?
A) 自动沿用市场调研报告中的竞品清单 B) 我手动指定竞品(请提供名称) C) 仅监控头部 1-3 个核心竞品
监控维度(可多选):版本/功能更新、定价变动、市场/融资动作、用户舆情、招聘/组织信号
记录到变量 COMPETITORS 与 WATCH_DIMS。
步骤 2: 建立/读取监控基线(主 agent)
如果 docs/01-需求调研/竞品监控月报.md 不存在 → 进入首次基线模式:
使用 Agent 工具并行派发 subagent,对每个竞品做全量快照(搜索优先):
Tool: Task
Parameters:
subagent_type: "general-purpose"
description: "竞品基线调研-{竞品名}"
prompt: |
你是竞品情报分析师。请对竞品「{竞品名}」建立当前快照。
**搜索优先级**:首选 AnySearch(定位脚本后 python3 调用),失败降级 Exa MCP,最后 WebSearch(标注「⚠️ 降级模式」)。
**监控维度**:{WATCH_DIMS}
**要求**:提取最新版本/功能、定价、近期动态、舆情基调(正面/中性/负面)、关键信号。
**输出 JSON**:
```json
{
"competitor": "{竞品名}",
"snapshot": {"version": "...", "pricing": "...", "news": "...", "sentiment": "正面/中性/负面", "signals": ["..."]},
"sources": [{"title": "...", "url": "..."}]
}
```
如果已存在上期月报 → 读取并提取上期基线值,供本期对比。
步骤 3: 设定监控节奏与预警阈值(主 agent - 用户交互)
使用 AskUserQuestion 确认:
📅 监控节奏
A) 月度监控(推荐) B) 双周监控 C) 季度监控
异动预警阈值(示例):
- 定价变动 ≥ {X}%
- 大版本/核心功能上线
- 负面舆情集中爆发
- 融资/组织重大变动
记录到变量 CADENCE 与 ALERT_RULES。
步骤 4: 派发 subagent 做本期情报收集(核心优化)
与步骤 2 同样派发 subagent(并行),但 prompt 增加「与上期对比,标记变化」:
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 239 lines · 88 tokens per session scan A d65bc0f9ed71
pm-competitor is a skill published in the GitHub repository konglong87/superPM (61 stars, last pushed 3d ago), licensed MIT. It adds 88 tokens to every session and 2,225 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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