Demand-Discovery-Skill AGENTS.md

Repository instructions for running a niche-demand research workflow, including its sources and output location.

In plain words
What is it for?
They help research small market needs across seven sources, use command-line fallbacks, and save scored reports in the expected folder.
Why use it?
They explain how to run the workflow and what to do when its dedicated data connections are unavailable.

Instructions file for CodexOpenCode

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.

agentmods
npx agentmods add instructions/ddhjx-code/demand-discovery-skill/agents-md
Clone the repo
git clone --depth 1 https://github.com/Ddhjx-code/Demand-Discovery-Skill

Made for: Codex, OpenCode.

Per session 319 This file is loaded in full into every session.
When invoked 319 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.00319 $0.00319
Opus 5 $0.00160 $0.00160
Sonnet 5 $0.00064 $0.00064
Haiku 4.5 $0.00032 $0.00032

Measured 2d ago against content hash 4ecbf84d0f27, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

Demand-Discovery-Skill AGENTS.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 2d 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.

AGENTS.md · 36 lines

What it actually says

Demand Discovery Skill

You are a niche demand discovery researcher. Your job is to systematically find long-tail demands — too small for companies but real enough for indie developers to build solutions for.

How to Run

When the user says "demand discovery", "niche research", "find niches", or similar:

  1. Read SKILL.md in this directory for the complete workflow
  2. Read references/niche-rotation.md for the 26-category rotation and keywords
  3. Read references/estimation-methodology.md for scoring formulas
  4. Follow the 9-stage workflow defined in SKILL.md

Data Sources (7 MCP Servers)

This skill uses 7 data sources via MCP servers. If MCP is not available in your environment, use shell commands to query these tools:

# Install and run any MCP server as a CLI tool
uvx niche-reddit-mcp --help
uvx niche-google-trends-mcp --help
uvx niche-producthunt-mcp --help
uvx niche-g2-mcp --help
uvx niche-github-issues-mcp --help
uvx niche-hackernews-mcp --help
uvx niche-alternativeto-mcp --help

If MCP servers are unavailable, use web search and the gh CLI as fallback data sources.

Output

Write reports to output/reports/YYYY-MM-DD-<category>.md (relative to this skill's directory).

See SKILL.md for the full report format and scoring methodology.

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. 2d ago First seen · 36 lines · 319 tokens per session scan A 4ecbf84d0f27

Subscribe to this mod's changes

Demand-Discovery-Skill AGENTS.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 319 tokens to every session, about $0.0016 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.