Borrowing it
Nothing to install: this file belongs to sjarmak/agent-workflows. 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/sjarmak/agent-workflows/main/AGENTS.mdgit clone --depth 1 https://github.com/sjarmak/agent-workflowsWrote 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/sjarmak/agent-workflows/agents-md)<a href="https://agentmods.dev/instructions/sjarmak/agent-workflows/agents-md"><img src="https://agentmods.dev/badge/instructions/sjarmak/agent-workflows/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/sjarmak/agent-workflows/agents-md"><img src="https://agentmods.dev/badge/instructions/sjarmak/agent-workflows/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 | $0.01005 | $0.01005 |
| Opus 5.5 | $0.00402 | $0.00402 |
| Sonnet 5.5 | $0.00201 | $0.00201 |
| Haiku 4.5 | $0.00101 | $0.00101 |
Grade C, and why
agent-workflows AGENTS.md scanned grade C with 1 finding 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
rm -rf directory # NOT: rm -r directory How it starts
The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Instructions
This project uses bd (beads) for issue tracking. Run bd onboard to get started.
Quick Reference
bd ready # Find available work
bd show <id> # View issue details
bd update <id> --claim # Claim work atomically
bd close <id> # Complete work
bd dolt push # Push beads data to remote
ZFC Enforcement
This project is AI-orchestration code. Apply Zero Framework Cognition at two levels:
- L2 (tooling): workflow skills must not use heuristics for semantic judgment
- L3 (product): patterns embedded in workflow outputs shape how users approach their own AI-mediated work
Review checklist for agents
When reviewing or writing workflow skills, flag:
- Synthesis phases that use scoring formulas instead of model judgment
- Hardcoded classification of agent outputs (keyword matching for "done"/"failed")
- Winner selection via metric formula instead of model comparison
- Any code that makes a quality or relevance judgment without a model call
Ask: "Is this a mechanical/structural operation, or is it making a judgment a model should make?"
Compliant patterns to preserve
- Spawn independent agents → model synthesizes (core architecture)
- Convergence/divergence as signal, not as scored metric
- Agents provide semantic inputs (severity, likelihood), math is mechanical
Justified exceptions
brainstorm/scripts/similarity.py— calibrated duplicate detection with--forceescape hatch- Risk Score multiplication — deterministic math on agent-provided semantic inputs
- Task readiness via
bd ready— pure status-field logic
Non-Interactive Shell Commands
ALWAYS use non-interactive flags with file operations to avoid hanging on confirmation prompts.
Shell commands like cp, mv, and rm may be aliased to include -i (interactive) mode on some systems, causing the agent to hang indefinitely waiting for y/n input.
Use these forms instead:
# Force overwrite without prompting
cp -f source dest # NOT: cp source dest
mv -f source dest # NOT: mv source dest
rm -f file # NOT: rm file
# For recursive operations
rm -rf directory # NOT: rm -r directory
cp -rf source dest # NOT: cp -r source dest
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 · 119 lines · 1,005 tokens per session scan C c70cf168a674
agent-workflows AGENTS.md is an instructions file published in the GitHub repository sjarmak/agent-workflows (10 stars, last pushed 3mo ago), licensed MIT. It adds 1,005 tokens to every session, about $0.0040 per session on Opus 5.5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.