Borrowing it
Nothing to install: this file belongs to publicusdijital-ai/linkloom. 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/publicusdijital-ai/linkloom/main/AGENTS.mdgit clone --depth 1 https://github.com/publicusdijital-ai/linkloomWrote 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/publicusdijital-ai/linkloom/agents-md)<a href="https://agentmods.dev/instructions/publicusdijital-ai/linkloom/agents-md"><img src="https://agentmods.dev/badge/instructions/publicusdijital-ai/linkloom/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/publicusdijital-ai/linkloom/agents-md"><img src="https://agentmods.dev/badge/instructions/publicusdijital-ai/linkloom/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 | $0.00288 | $0.00288 |
| Opus 5 | $0.00144 | $0.00144 |
| Sonnet 5 | $0.00058 | $0.00058 |
| Haiku 4.5 | $0.00029 | $0.00029 |
Grade A, and why
linkloom 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 9d 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 Instructions
This repository is an Open Agent Skill plus standard-library Python toolkit for topical internal linking.
Working Rules
- Keep
SKILL.mdconcise and route detailed guidance toreferences/. - Keep scripts dependency-free unless a dependency is clearly justified and documented.
- Use
python3 -m unittest discover -s testsafter changing scripts. - Use
python3 scripts/validate_skill.py .after changingSKILL.mdor skill metadata. - Never make live CMS writes in examples, tests, or docs without dry-run-first language.
- Do not store credentials in this repo. Use environment variables for WordPress application passwords.
Important Commands
python3 scripts/validate_skill.py .
python3 -m unittest discover -s tests
python3 -m py_compile scripts/*.py
Architecture
SKILL.md: minimal agent-facing workflow and resource map.references/: detailed topical authority and website access rules.scripts/: deterministic utilities for URL extraction, fetching, scoring, insertion, WordPress sync, installation, and validation.examples/: safe local demo content.tests/: standard-library unit tests.
Safety Boundary
The project may produce linked local copies automatically. Live site mutation is only acceptable through an official CMS API, after export/backup, local diff review, dry run, and explicit user approval.
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.
- 9d ago First seen · 33 lines · 288 tokens per session scan A 19a4ab43f021
linkloom AGENTS.md is an instructions file published in the GitHub repository publicusdijital-ai/linkloom (5 stars, last pushed 2mo ago), licensed MIT. It adds 288 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 2026-08-31.
Other instructions, from other repositories
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.
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).
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).
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.
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.