Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/duc01226/EasyPlatformnpx agentmods add skills/duc01226/easyplatform/ai-context-refreshWrote 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/duc01226/easyplatform/ai-context-refresh)<a href="https://agentmods.dev/skills/duc01226/easyplatform/ai-context-refresh"><img src="https://agentmods.dev/badge/skills/duc01226/easyplatform/ai-context-refresh/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/duc01226/easyplatform/ai-context-refresh"><img src="https://agentmods.dev/badge/skills/duc01226/easyplatform/ai-context-refresh.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 | $0.00046 | $0.05094 |
| Opus 5.5 | $0.00018 | $0.02038 |
| Sonnet 5.5 | $0.00009 | $0.01019 |
| Haiku 4.5 | $0.00005 | $0.00509 |
Grade A, and why
ai-context-refresh 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 3d 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 — 330 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Codex compatibility note:
- Invoke
$skill-name: load the registered.agents/skills/<name>/SKILL.mdand execute it with Codex tools; no separateSkilltool or Claude mode switch is needed. Author.claude/**; mirrors are generated.- Track steps before execution and keep progress/evidence current. Explicit skill requests execute their protocol. Use the native question tool for required questions.
- Map foreign tool names to available host capabilities. A name mismatch needs no approval; an actually unavailable required capability stops with its step/evidence and a user question before adaptation.
- Subagent authorization: when a skill is user-invoked or AI-detected and its protocol requires subagents, that skill activation authorizes use of the required
spawn_agentsubagent(s) for that task.- Preserve protocol order unless the user approves a deviation. Workflows use
$start-workflow: gates stay fixed; other steps may flex with logged reasons and evidence.
Quick Summary
Goal: Refresh the portable project AI-context lifecycle — generate or update the Claude root context from project-config.json + template, preserve project instructions through smart merge/refactor, and refresh Codex projections.
Summary:
- Preflight config and detect
init,update, markerlesssmart-merge, or AI-onlyrefactormode. - Generate/update root context from config + template while preserving unmanaged project instructions.
- AI-fill and verify markers, placeholders, portability, and project-specific content.
- After final root edits, run the standalone sync runner with
--skip=claude-md; verify every Codex mirror and report failures.
Workflow:
- Detect Mode — init (no root context or
--mode init), update (--mode update), refactor (--mode refactor) - Run Generator —
node .claude/skills/ai-context-refresh/scripts/generate-claude-md.cjs --mode <mode> - AI Fill — Review output, fill creative sections (project description, golden rules inference)
- Sync Codex Mirrors — After the final AI edits and verification, run the shared standalone runner with
--skip=claude-mdsoAGENTS.md,.agents/, and.codex/are regenerated from the finishedCLAUDE.md.
Key Rules:
- Generic — works in any project by reading
docs/project-config.json - Section markers (
<!-- SECTION:key -->) enable incremental updates without overwriting user content - Conditional sections — generated ONLY when config has matching data; empty config = section omitted
- The root holds project information only: the framework rules every agent follows reach the session through the universal hook, never through this file
$sync-codexowns Codex mirror generation; this skill owns the root AI-context lifecycle and calls the same runner only after its explicit init/update/refactor work is complete
What ships with it
4 files 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.
- 3d ago First seen · 330 lines · 46 tokens per session scan A 24ad948c9ecc
ai-context-refresh is a skill published in the GitHub repository duc01226/EasyPlatform (12 stars, last pushed yesterday), licensed MIT. It adds 46 tokens to every session and 5,094 once invoked, about $0.0002 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 2026-10-18.
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