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 instructions/ddhjx-code/demand-discovery-skill/claude-mdgit clone --depth 1 https://github.com/Ddhjx-code/Demand-Discovery-SkillWrote 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/instructions/ddhjx-code/demand-discovery-skill/claude-md)<a href="https://agentmods.dev/instructions/ddhjx-code/demand-discovery-skill/claude-md"><img src="https://agentmods.dev/badge/instructions/ddhjx-code/demand-discovery-skill/claude-md.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 | $0.00112 | $0.00112 |
| Opus 5 | $0.00056 | $0.00056 |
| Sonnet 5 | $0.00022 | $0.00022 |
| Haiku 4.5 | $0.00011 | $0.00011 |
Grade A, and why
Demand-Discovery-Skill CLAUDE.md 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 3d 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
Demand Discovery Skill
This project is an AI coding assistant skill for automated niche demand discovery.
Usage
Type /demand-discovery in Claude Code to run the full research workflow.
The skill auto-configures 7 MCP servers on first run and guides you through credential setup.
Key Files
SKILL.md— Full workflow definition (the canonical source)references/estimation-methodology.md— Scoring formulasreferences/niche-rotation.md— 26-category rotation with pre-configured keywords
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.
- 3d ago First seen · 16 lines · 112 tokens per session scan A f96c7bb13f4c
Demand-Discovery-Skill CLAUDE.md is an instructions file published in the GitHub repository Ddhjx-code/Demand-Discovery-Skill (1 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 112 tokens to every session, about $0.0006 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 2026-08-31.
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