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 agentmods add skills/konglong87/superpm/discovernpx skills add konglong87/superPM --skill discovergit 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/discover)<a href="https://agentmods.dev/skills/konglong87/superpm/discover"><img src="https://agentmods.dev/badge/skills/konglong87/superpm/discover.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 | $0.00039 | $0.00612 |
| Opus 5 | $0.00019 | $0.00306 |
| Sonnet 5 | $0.00008 | $0.00122 |
| Haiku 4.5 | $0.00004 | $0.00061 |
Grade A, and why
discover 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 4d 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.
What it actually says
Overview
This command chains 4 skills into a complete product discovery workflow:
- pm-market — Market landscape & sizing
- pm-competitor — Competitive analysis
- pm-demand — Demand validation & pain point analysis
- pm-priority — Prioritization & opportunity ranking
Each step pauses for user confirmation before proceeding.
Execution Flow
Step 1: Market Analysis
Run the market analysis skill to understand the market landscape.
📊 Starting Step 1/4: Market Analysis This will analyze the market size, trends, and landscape for your product idea.
执行 /pm-market
完成后，使用 AskUserQuestion 确认：
✅ Step 1 complete. Proceed to Step 2: Competitive Analysis? A) Yes, continue B) Skip competitive analysis C) Stop
Step 2: Competitive Analysis
📊 Starting Step 2/4: Competitive Analysis This will analyze competitors, their positioning, and gaps in the market.
执行 /pm-competitor
完成后，使用 AskUserQuestion 确认：
✅ Step 2 complete. Proceed to Step 3: Demand Validation? A) Yes, continue B) Skip demand validation C) Stop
Step 3: Demand Validation
📊 Starting Step 3/4: Demand Validation This will validate user pain points, needs, and willingness to pay.
执行 /pm-demand
完成后，使用 AskUserQuestion 确认：
✅ Step 3 complete. Proceed to Step 4: Prioritization? A) Yes, continue B) Skip prioritization C) Stop
Step 4: Prioritization
📊 Starting Step 4/4: Prioritization This will rank opportunities and prioritize features.
执行 /pm-priority
Completion
✅ Product discovery complete!
Generated documents:
- docs/01-需求调研/市场调研报告.md
- docs/01-需求调研/竞品监控月报.md
- docs/01-需求调研/需求调研报告.md
- docs/01-需求调研/优先级排序报告.md
Recommended next steps:
- /write-prd — Write PRD based on discovery findings
- /validate-idea — Validate the idea with a different approach
- /define-strategy — Define product strategy
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.
- 4d ago First seen · 92 lines · 39 tokens per session scan A 39964dc26ded
discover is a skill published in the GitHub repository konglong87/superPM (60 stars, last pushed 22d ago), licensed MIT. It adds 39 tokens to every session and 612 once invoked, about $0.0002 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.
Other skills, from other repositories
deepsafe-scan
Preflight security scanner for AI coding agents — scans deployment config, skills/MCP servers, memory/sessions, and AI agent config files (hooks injection) for secrets, PII, prompt injection, and dangerous patterns. Runs 4 model behavior probes (persuasion, sandbagging, deception, hallucination). Supports LLM-enhanced…
douyin-upload-mcp-skill
通过抖音创作者平台（creator.douyin.com）发布视频和图文内容。首选调用 MCP 工具完成操作，MCP 无法满足时可运行 Skill 脚本兜底。禁止自行启动外部浏览器访问抖音。.
team-tasks
Coordinate multi-agent development pipelines using shared JSON task files. Use when dispatching work across dev team agents (code-agent, test-agent, docs-agent, monitor-bot), tracking pipeline progress, or running sequential/parallel workflows. Covers project init, task assignment, status tracking, agent dispatch via…
multi-search
智能多引擎搜索，自动检测网络环境并按优先级切换：DuckDuckGo -> Tavily -> Bing API -> Bing爬虫。支持自动配额管理和网络缓存。Invoke when user needs web search with automatic engine selection and network adaptation.
meeting-note-summarizer
Turn meeting notes or transcripts into factual summaries, decisions, questions, and action items. Use when a user wants a concise recap or needs explicit owners and deadlines extracted without filling in missing details.
daily-standup-journal
Generate concise daily standups, reflection prompts, and weekly retrospectives for individuals or teams. Use for planning a day, surfacing blockers, reviewing user-provided entries, or drafting a check-in without assuming prior history.