Borrowing it
Nothing to install: this file belongs to SunrisesIllNeverSee/Moses_Enterprise_B2BPilot_. 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/SunrisesIllNeverSee/Moses_Enterprise_B2BPilot_/main/AGENTS.mdgit clone --depth 1 https://github.com/SunrisesIllNeverSee/Moses_Enterprise_B2BPilot_Wrote 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/sunrisesillneversee/moses_enterprise_b2bpilot_/agents-md)<a href="https://agentmods.dev/instructions/sunrisesillneversee/moses_enterprise_b2bpilot_/agents-md"><img src="https://agentmods.dev/badge/instructions/sunrisesillneversee/moses_enterprise_b2bpilot_/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/sunrisesillneversee/moses_enterprise_b2bpilot_/agents-md"><img src="https://agentmods.dev/badge/instructions/sunrisesillneversee/moses_enterprise_b2bpilot_/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 | $0.01239 | $0.01239 |
| Opus 5 | $0.00620 | $0.00620 |
| Sonnet 5 | $0.00248 | $0.00248 |
| Haiku 4.5 | $0.00124 | $0.00124 |
Grade A, and why
Moses_Enterprise_B2BPilot_ 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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Upsilon Architecture Context (2026-08-28)
Architecture: MO§ES → Upsilon → SigRank | SignalAF
- Upsilon = measurement engine / enterprise product (the engine that measures)
- SigRank = public leaderboard / benchmark / proof surface (live at signalaf.com)
- SignalAF = public distribution / platform brand
- Yield (Υ) = metric inside Upsilon:
(cache_read × output) / input² - MO§ES™ = governance framework / methodology
Owner clarification (2026-08-28): The primary change is the Upsilon pilot. agent-universe and sigrank-app changes are minimal — just pointing toward the pilot and establishing architecture context. All repos get this context so they understand where it came from and don't try rewriting everything every time.
Do NOT:
- Rename package/repo/CLI names (sigrank-app, sigrank-mcp, npx sigrank) — these are technical identifiers
- Rename "SigRank" where it means the public leaderboard/benchmark
- Conflate "Upsilon" (product) with "Yield" (metric) — they are different things
- Mass-rewrite historical/archive content to conform to new branding
- Change patent claims without legal review
Preserved:
npx sigrankCLI commandsigranknpm package namesigrank-app,sigrank-mcprepo names- All URLs (signalaf.com, sigeconomy.com, mos2es.org, signomy.xyz)
- "SigRank leaderboard/board/ranks" references
- Historical and archive content
Canon source: Search Authority (commit 790d403). Load canon context before modifying product definitions, metrics, or terminology:
export SEARCH_AUTHORITY_PATH="${SEARCH_AUTHORITY_PATH:-$HOME/Developer/_control/search-authority}"
python3 "$SEARCH_AUTHORITY_PATH/canon_cli.py" context sigrank
python3 "$SEARCH_AUTHORITY_PATH/canon_cli.py" context upsilon
Filesystem MCP — REQUIRED for file operations
This is a core framework/search/ello/product repository. When performing file operations, prefer the Filesystem MCP tools over ad-hoc shell commands:
list_directory/directory_tree— structured directory traversalsearch_files— glob-pattern file search within allowed pathsread_multiple_files— batch file reads (failures do not stop the batch)edit_filewithdryRun: true— preview structural changes before applying
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.
- 3d ago Changed · +75 lines · +788 tokens per session fe1538c92fc7
- 8d ago First seen · 40 lines · 451 tokens per session scan A 05300824019c
Moses_Enterprise_B2BPilot_ AGENTS.md is an instructions file published in the GitHub repository SunrisesIllNeverSee/Moses_Enterprise_B2BPilot_ (0 stars, last pushed today), licensed Apache-2.0. It adds 1,239 tokens to every session, about $0.0062 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.
Other instructions, from other repositories
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vscode buildNext.instructions.md
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vscode oss-third-party-notices.instructions.md
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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.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.