Borrowing it
Nothing to install: this file belongs to natnew/Awesome-Prompt-Engineering. 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/natnew/Awesome-Prompt-Engineering/main/.github/instructions/link-and-source-quality.instructions.mdgit clone --depth 1 https://github.com/natnew/Awesome-Prompt-EngineeringWrote 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/natnew/awesome-prompt-engineering/link-and-source-quality)<a href="https://agentmods.dev/instructions/natnew/awesome-prompt-engineering/link-and-source-quality"><img src="https://agentmods.dev/badge/instructions/natnew/awesome-prompt-engineering/link-and-source-quality.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 5.1 | $0.00274 | $0.00274 |
| Opus 5 | $0.00137 | $0.00137 |
| Sonnet 5 | $0.00055 | $0.00055 |
| Haiku 4.5 | $0.00027 | $0.00027 |
Grade A, and why
Awesome-Prompt-Engineering link-and-source-quality.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 8d 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
Assessing links and sources
Every listed resource should point to a credible, durable source. Use these checks when adding or reviewing an entry.
Prefer canonical, durable sources
- Official documentation, the primary research paper, the project's GitHub repository, or a substantial technical write-up.
- A stable project page that is likely to remain available and maintained.
- HTTPS only.
Treat with caution or avoid
- Thin landing pages with little real content.
- Affiliate-style, referral, or paywalled pages presented as documentation.
- Pages making unverifiable claims, or heavy on self-promotion.
- Generic, AI-generated content with no clear author or authority.
- Mirrors, aggregators, or package-registry pages where a canonical repository or doc exists.
Quick credibility check
- Does the resource appear actively maintained and current?
- Is it clearly relevant to prompt engineering, context engineering, or AI agents?
- Is it technically useful to a real practitioner, rather than introductory filler that duplicates existing entries?
- Does the link resolve, and does it point to the most authoritative version of the source?
If a source is weak but the underlying resource is worthwhile, prefer suggesting a stronger canonical link over declining outright.
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.
- 8d ago First seen · 37 lines · 274 tokens per session scan A d765892e30b6
Awesome-Prompt-Engineering link-and-source-quality.instructions.md is an instructions file published in the GitHub repository natnew/Awesome-Prompt-Engineering (109 stars, last pushed 1mo ago), licensed MIT. It adds 274 tokens to every session, about $0.0014 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 instructions, from other repositories
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.