Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/jonathan-vella/apex-accelerator/agent-operating-framegit clone --depth 1 https://github.com/jonathan-vella/apex-acceleratorWrote 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/jonathan-vella/apex-accelerator/agent-operating-frame)<a href="https://agentmods.dev/instructions/jonathan-vella/apex-accelerator/agent-operating-frame"><img src="https://agentmods.dev/badge/instructions/jonathan-vella/apex-accelerator/agent-operating-frame.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 | $0.01230 | $0.01230 |
| Opus 5 | $0.00615 | $0.00615 |
| Sonnet 5 | $0.00246 | $0.00246 |
| Haiku 4.5 | $0.00123 | $0.00123 |
Grade A, and why
apex-accelerator agent-operating-frame.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 5d 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 — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Operating Frame — Shared Rules
Scope: this file is auto-loaded for every main agent in
.github/agents/*.agent.md(single-star glob —_subagents/is deliberately excluded). It captures the project-wide operating rules that previously lived as 4 near-identical H2 sections (## Context Awareness,## Scope Fencing,## Subagent Budget,## Investigate Before Answering) inside each agent body.Each agent now ships a tight body-level
## Operating framesection (≤ 6 lines) that lists only the agent-specific subagents and the one-line scope statement, and pulls everything else from here.
Read each SKILL.md once
- When a SKILL.md is named in an agent's mandatory-read list, read it exactly once at boot — never re-read mid-session.
- The same applies to
references/*.mdfiles. If you have already read a reference in this conversation, do not callread_fileon it again — use the content already in context. - Re-reading the same file is the single biggest avoidable source of
input-token bloat. See
agent-authoring.instructions.md.
Use apex-recall for cached lookups
- Use
apex-recall show <project> --jsonto retrieve cached decisions, findings, and artifact state instead of re-reading predecessor artifacts after the boot read. - The
--jsonflag is canonical — never parse the human-readable output. Schema and jq templates:tools/apex-recall/docs/show-schema.md. - If
apex-recallreturns useful context, skip redundant file reads. If it returns empty or errors, proceed normally — it is a convenience, not a blocker.
Investigate before answering
- Read the implementation plan, governance constraints, and prior
artifacts (via
apex-recall show) before generating any new content for the current step. - Verify external contracts (AVM module schemas, Azure REST APIs,
policy effects) via the preflight or validate subagent named in
the agent's
## Operating frame. Do not assume.
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.
- 5d ago First seen · 106 lines · 1,230 tokens per session scan A 67801531504b
apex-accelerator agent-operating-frame.instructions.md is an instructions file published in the GitHub repository jonathan-vella/apex-accelerator (50 stars, last pushed 3d ago), licensed MIT. It adds 1,230 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 2026-08-30.
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