Borrowing it
Nothing to install: this file belongs to HoangNguyen0403/agent-skills-standard. 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/HoangNguyen0403/agent-skills-standard/develop/.github/instructions/agent-skill-standard-rule.instructions.mdgit clone --depth 1 https://github.com/HoangNguyen0403/agent-skills-standardWrote 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/hoangnguyen0403/agent-skills-standard/agent-skill-standard-rule)<a href="https://agentmods.dev/instructions/hoangnguyen0403/agent-skills-standard/agent-skill-standard-rule"><img src="https://agentmods.dev/badge/instructions/hoangnguyen0403/agent-skills-standard/agent-skill-standard-rule/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/hoangnguyen0403/agent-skills-standard/agent-skill-standard-rule"><img src="https://agentmods.dev/badge/instructions/hoangnguyen0403/agent-skills-standard/agent-skill-standard-rule.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 | $0.00491 | $0.00491 |
| Opus 5 | $0.00246 | $0.00246 |
| Sonnet 5 | $0.00098 | $0.00098 |
| Haiku 4.5 | $0.00049 | $0.00049 |
Grade A, and why
agent-skills-standard agent-skill-standard-rule.instructions.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.
How it starts
The opening of the file, as written. The whole thing — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🛠 Agent Skills Routing Protocol (CRITICAL)
You are operating in a Zero-Trust environment. You are strictly forbidden from relying on your baseline pre-training for architecture, styling, testing, or code patterns in this repository.
[!CRITICAL] GATEKEEPER CONSTRAINT Your first action in ANY session MUST be a tool call to read
AGENTS.md. You must NOT write code, suggest solutions, or output text explanations until you have completed the State Machine below.
🔄 The Mandatory State Machine
You must execute these states sequentially. Do not proceed to the next state until the current one is satisfied.
State 1: Discovery (Tool Call Required)
- Action: Execute a file-reading tool (e.g.,
view_file,read_file,cat) targeting the exact path:AGENTS.md(located in the project root). - Condition to pass: You have successfully read the
<!-- SKILLS_INDEX_START -->block.
State 2: Trigger Matching (Internal Thought)
- Action: Analyze the user's prompt (keywords) and the files involved in the task (globs).
- Condition to pass: Cross-reference them against the
(triggers: ...)list insideAGENTS.md. Identify all matching Skills and note their exact file paths.
State 3: Context Loading (Tool Call Required)
- Action: Execute file-reading tools to read the
SKILL.mdfiles at the exact paths identified in State 2. - Condition to pass: You have ingested the specific guidelines for the task. If no skills matched in State 2, you may skip this state.
State 4: Execution & Audit Log (Output Generation)
- Action: You may now begin answering the user or writing code.
- Constraint: Your very first text output MUST be a "Pre-Write Audit Log" confirming which skills were loaded, or explicitly stating "No project-specific skills applicable."
Self-Learning Protocol
At the end of any multi-step task with user corrections, load and run common/common-session-retrospective to capture skill gaps and prevent repeat rework.
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 · 41 lines · 491 tokens per session scan A 0c0a46832a01
agent-skills-standard agent-skill-standard-rule.instructions.md is an instructions file published in the GitHub repository HoangNguyen0403/agent-skills-standard (565 stars, last pushed 3d ago), licensed MIT. It adds 491 tokens to every session, about $0.0025 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 2026-09-03.
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