Borrowing it
Nothing to install: this file belongs to Ddhjx-code/Demand-Discovery-Skill. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Ddhjx-code/Demand-Discovery-Skill/main/.github/copilot-instructions.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/copilot-instructions)<a href="https://agentmods.dev/instructions/ddhjx-code/demand-discovery-skill/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/ddhjx-code/demand-discovery-skill/copilot-instructions/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/ddhjx-code/demand-discovery-skill/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/ddhjx-code/demand-discovery-skill/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00260 | $0.00260 |
| Opus 5.5 | $0.00104 | $0.00104 |
| Sonnet 5.5 | $0.00052 | $0.00052 |
| Haiku 4.5 | $0.00026 | $0.00026 |
Grade A, and why
Demand-Discovery-Skill copilot-instructions.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 1mo 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 automated niche demand discovery tool. It systematically finds long-tail demands — too small for companies but real enough for indie developers to build solutions.
When the user asks for demand discovery research:
- Read
SKILL.mdfor the complete 9-stage workflow - Read
references/niche-rotation.mdfor the 26-category rotation with keywords - Read
references/estimation-methodology.mdfor scoring formulas
Data Sources (7)
Gather data from these sources using web search:
- Reddit — Pain points in category-relevant subreddits
- G2 — Competitor low-star reviews
- Product Hunt — Trending alternatives
- GitHub Issues — Feature requests with high reaction counts (use
ghCLI) - Hacker News — Developer discussions (hn.algolia.com API)
- AlternativeTo — Software alternatives and gaps
- Google Trends — Search volume validation
Output Format
Reports go to output/reports/YYYY-MM-DD-<category>.md (relative to this skill's directory).
Each demand is scored 0-100 (weighted composite from 7 sources) with a feasibility rating 1-5.
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.
- 1mo ago First seen · 27 lines · 260 tokens per session scan A dd4bd07f981e
Demand-Discovery-Skill copilot-instructions.md is an instructions file published in the GitHub repository Ddhjx-code/Demand-Discovery-Skill (1 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 260 tokens to every session, about $0.0010 per session on Opus 5.5. 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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