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 skills add CoderBhoid/ai-format --skill agentic-skillgit clone --depth 1 https://github.com/CoderBhoid/ai-formatWrote 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/skills/coderbhoid/ai-format/agentic-skill)<a href="https://agentmods.dev/skills/coderbhoid/ai-format/agentic-skill"><img src="https://agentmods.dev/badge/skills/coderbhoid/ai-format/agentic-skill/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/skills/coderbhoid/ai-format/agentic-skill"><img src="https://agentmods.dev/badge/skills/coderbhoid/ai-format/agentic-skill.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 | $0.00083 | $0.01057 |
| Opus 5.5 | $0.00033 | $0.00423 |
| Sonnet 5.5 | $0.00017 | $0.00211 |
| Haiku 4.5 | $0.00008 | $0.00106 |
Grade A, and why
aif 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 yesterday.
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 — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AIF V4: Deterministic Version Control & State Checkpoints for LLMs & Agents
Operational guide for deterministic, model-agnostic, local-first version control and state checkpoints using the compiled aif Rust engine (AIF\x04).
When to Use
- Session Start: Always run on turn 1 to recall high-importance architectural context and active task states.
- Before Complex or Risky Tasks: Write scratch state to protect in-flight progress against unexpected cancellation or user interrupts (
Ctrl+C). - End of Every Turn: Persist cognitive decisions, API changes, bug fixes, and milestones into orbital rings.
- Cross-Project Inquiries: Query connected repositories through the synaptic bridge (
bridge_nexus.ai). - Memory Maintenance: Apply temporal decay and reweight obsolete or elevated memories.
When NOT to Use
- Casual conversational banter or one-word clarifying questions with no state change.
- Environments where
aifbinary is unavailable and cannot be built. - Scratch or temporary sandboxes where persistence across sessions is explicitly not desired.
Orbital Gravity Rings
Memories are partitioned into three concentric rings based on cognitive score ($S_{attn}$):
- Red Core (
INT16_CORE/FP16_RAW, $S_{attn} \ge 0.70$):- High-importance architectural decisions, schemas, and interrupted checkpoints (
[PAUSED_MID_TASK]). - Preloaded on boot recall and synchronized to
bridge_nexus.ai.
- High-importance architectural decisions, schemas, and interrupted checkpoints (
- Black Middle Ring (
INT8_RING, $0.30 \le S_{attn} < 0.70$):- Standard turn summaries and implementation notes.
- Stop words pruned to conserve tokens while preserving semantic intent.
- Blue Outer Crust (
INT2_CRUST, $S_{attn} < 0.30$):- Ultra-compact gist summaries and decayed memories.
Execution Workflow
+--------------------------------------------------------------------------------+
| 1. Boot Recall --> aif recall --core-and-bridge |
| 2. In-Flight Work --> aif scratch "<active goal and variables>" |
| 3. Turn Commit --> aif note --importance <0.0-1.0> --summary "<action>" |
| 4. Cross-Project --> aif bridge --query "<topic>" |
| 5. Maintenance --> aif optimize --delta 0.05 |
+--------------------------------------------------------------------------------+
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- yesterday Changed · +13 tokens per session 4e9d29438587
- 9d ago Changed · +16 lines · +27 tokens per session 1767eaa2aa91
- 12d ago Changed · -16 lines · +7 tokens per session 3d73ef610959
- 1mo ago First seen · 102 lines · 36 tokens per session scan A ff223b02436b
aif is a skill published in the GitHub repository CoderBhoid/ai-format (12 stars, last pushed 2d ago), licensed MIT. It adds 83 tokens to every session and 1,057 once invoked, about $0.0003 per session on Opus 5.5. 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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