Borrowing it
Nothing to install: this file belongs to natnew/Awesome-Agentic-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-Agentic-Engineering/main/.github/instructions/link-and-source-quality.instructions.mdgit clone --depth 1 https://github.com/natnew/Awesome-Agentic-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-agentic-engineering/link-and-source-quality)<a href="https://agentmods.dev/instructions/natnew/awesome-agentic-engineering/link-and-source-quality"><img src="https://agentmods.dev/badge/instructions/natnew/awesome-agentic-engineering/link-and-source-quality/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/natnew/awesome-agentic-engineering/link-and-source-quality"><img src="https://agentmods.dev/badge/instructions/natnew/awesome-agentic-engineering/link-and-source-quality.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 | $0.00242 | $0.00242 |
| Opus 5.5 | $0.00097 | $0.00097 |
| Sonnet 5.5 | $0.00048 | $0.00048 |
| Haiku 4.5 | $0.00024 | $0.00024 |
Grade A, and why
Awesome-Agentic-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 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
Link and source quality
How to assess the links and sources behind an entry.
Prefer durable, canonical sources
- Favour official documentation, papers, canonical repositories, technical write-ups, datasets, and durable project pages.
- Link to the canonical destination, not a redirect, an aggregator, or a tracking URL.
- Separate benchmark performance from production maturity: a benchmark proves workload fit, not reliability.
Treat these with caution
- Thin landing or marketing pages, affiliate-style pages, and press releases.
- Unverifiable claims, launch-day numbers without methodology, and cherry-picked metrics.
- Excessive self-promotion, and generic or AI-generated content with no engineering substance.
- GitHub stars used as evidence — popularity is not reliability.
Before accepting a resource
- Confirm it appears maintained, relevant to the list's scope, and technically useful.
- Check that each substantive claim carries an appropriate evidence tag:
[official],[benchmark],[field report], or[author assessment]. - Verify every link resolves. When a section changes quickly, confirm its
Last reviewed:marker is current.
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 · 242 tokens per session scan A fbcf03017ef8
Awesome-Agentic-Engineering link-and-source-quality.instructions.md is an instructions file published in the GitHub repository natnew/Awesome-Agentic-Engineering (4 stars, last pushed 7d ago), licensed MIT. It adds 242 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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