Borrowing it
Nothing to install: this file belongs to davidmosiah/delx-agent-utilities. 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/davidmosiah/delx-agent-utilities/main/AGENTS.mdgit clone --depth 1 https://github.com/davidmosiah/delx-agent-utilitiesWrote 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/davidmosiah/delx-agent-utilities/agents-md)<a href="https://agentmods.dev/instructions/davidmosiah/delx-agent-utilities/agents-md"><img src="https://agentmods.dev/badge/instructions/davidmosiah/delx-agent-utilities/agents-md.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 | $0.00248 | $0.00248 |
| Opus 5 | $0.00124 | $0.00124 |
| Sonnet 5 | $0.00050 | $0.00050 |
| Haiku 4.5 | $0.00025 | $0.00025 |
Grade A, and why
delx-agent-utilities 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 7d 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
Agent Development Notes
Scope
delx-agent-utilities is a stateless, MCP-compatible toolkit. 90 utility tools + 3 agent-readiness surfaces (manifest / connection_status / privacy_audit).
Commands
- Install:
pipx install "delx-agent-utilities[mcp]"orpip install -e ".[dev,mcp]" - Test:
pytest - CLI:
delx-utils <subcommand>(manifest,status,privacy-audit,list-tools,show <tool>,call <tool> --json '{...}') - MCP server:
delx-utils-mcp(stdio, FastMCP-based)
Rules for changes
- Never add a tool that requires an API key, OAuth flow, or stored credential.
- Never add module-level state (caches / counters / handles) between calls.
- Networked tools must have an explicit per-call timeout (default 8s).
- Add a regression test for every new tool in
tests/test_dispatcher.py. - Keep schemas.py in sync with the dispatcher (
_HANDLERSmap) and the README tool list.
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.
- 7d ago First seen · 21 lines · 248 tokens per session scan A d6b8cdd3b7b9
delx-agent-utilities AGENTS.md is an instructions file published in the GitHub repository davidmosiah/delx-agent-utilities (0 stars, last pushed 9d ago), licensed MIT. It adds 248 tokens to every session, about $0.0012 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.
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