pm-competitor

pm-competitor is a skill for Claude Code from konglong87/superPM. It costs 88 tokens per session (2,225 once invoked), scanned A, original, MIT.

A recurring competitor-monitoring workflow for tracking competing products over time. It can compare changes in versions, features, pricing, funding, public opinion, and hiring signals.

In plain words
What is it for?
It helps create or update competitor monitoring reports and watch selected competitors across chosen business and product dimensions.
Why use it?
It provides a baseline and regular comparisons, so product teams can notice meaningful competitor changes instead of relying on one-off research.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions subagents; names the AskUserQuestion tool.

Part of the super-pm plugin — 55 skills, 1 hook shipped together

Good fit It helps create or update competitor monitoring reports and watch selected competitors…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/konglong87/superpm/pm-competitor
Install

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.

Any agent
npx skills add konglong87/superPM --skill pm-competitor
Clone the repo
git clone --depth 1 https://github.com/konglong87/superPM

Made for: Claude Code.

Or install super-pm, the plugin that ships this one along with the rest of its 55 skills, 1 hook.

Wrote 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.

agentmods badge for pm-competitor

README.md
[![agentmods](https://agentmods.dev/badge/skills/konglong87/superpm/pm-competitor.svg)](https://agentmods.dev/skills/konglong87/superpm/pm-competitor)
Your own site
<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>
Per session 88 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,225 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 7d ago against content hash d65bc0f9ed71, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

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.

skills/01-demand-insight/pm-competitor/SKILL.md · 239 lines

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:

  1. 如果当前环境支持 AskUserQuestion,使用 AskUserQuestion(最佳体验)。
  2. 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。
  3. 一次只问一个问题。
  4. 提问后必须停止当前回合,等待用户回答(STOP and WAIT)。
  5. 不得在用户回答前生成文档、写入 docs。
  6. 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"
  • 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 COMPETITORSWATCH_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 CADENCEALERT_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」:

Read the full file on GitHub · 239 lines

Changes

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.

  1. 7d ago First seen · 239 lines · 88 tokens per session scan A d65bc0f9ed71

Subscribe to this mod's changes

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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