Borrowing it
Nothing to install: this file belongs to yogsoth-ai/de-anthropocentric-research-engine. 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/yogsoth-ai/de-anthropocentric-research-engine/main/AGENTS.mdgit clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engineWrote 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/yogsoth-ai/de-anthropocentric-research-engine/agents-md)<a href="https://agentmods.dev/instructions/yogsoth-ai/de-anthropocentric-research-engine/agents-md"><img src="https://agentmods.dev/badge/instructions/yogsoth-ai/de-anthropocentric-research-engine/agents-md/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/yogsoth-ai/de-anthropocentric-research-engine/agents-md"><img src="https://agentmods.dev/badge/instructions/yogsoth-ai/de-anthropocentric-research-engine/agents-md.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 | $0.00278 | $0.00278 |
| Opus 5.5 | $0.00111 | $0.00111 |
| Sonnet 5.5 | $0.00056 | $0.00056 |
| Haiku 4.5 | $0.00028 | $0.00028 |
Grade A, and why
de-anthropocentric-research-engine 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 2mo 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
DARE Research Engine
Use DARE for AI Research tasks and whenever the user explicitly asks for DARE.
- Treat
CCandClaude Codein upstream DARE documents asCodex. - Resolve the DARE skill root from the first existing path:
.dare/skills/in a project where DARE was installedskills/in the DARE source repository
- Read
<skill-root>/de-anthropocentric-research-engine/SKILL.mdfirst. - Read
<skill-root>/research-catalog/SKILL.mdbefore selecting research packages. - Treat YAML
dependenciesin eachSKILL.mdas the authoritative call graph. - When a DARE document says to invoke a skill, open
<skill-root>/<skill-name>/SKILL.mdand follow it as the operative workflow. - Load dependency skills only when needed; do not load the entire DARE skill tree.
- Preserve runtime context in
context/INDEX.mdand its related context files. - Never write API keys or secrets into specs, context files, or committed configuration.
The DARE skill tree is an on-demand research knowledge base, not a Codex skill-discovery directory.
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.
- 2mo ago First seen · 20 lines · 278 tokens per session scan A 972c3b40e6fd
de-anthropocentric-research-engine AGENTS.md is an instructions file published in the GitHub repository yogsoth-ai/de-anthropocentric-research-engine (505 stars, last pushed 6d ago), licensed Apache-2.0. It adds 278 tokens to every session, about $0.0011 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 2026-08-30.
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