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 jggomez/expert-ai-developer-skills --skill context-restoregit clone --depth 1 https://github.com/jggomez/expert-ai-developer-skillsWrote 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/jggomez/expert-ai-developer-skills/context-restore)<a href="https://agentmods.dev/skills/jggomez/expert-ai-developer-skills/context-restore"><img src="https://agentmods.dev/badge/skills/jggomez/expert-ai-developer-skills/context-restore/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/jggomez/expert-ai-developer-skills/context-restore"><img src="https://agentmods.dev/badge/skills/jggomez/expert-ai-developer-skills/context-restore.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 | $0.00072 | $0.01093 |
| Opus 5.5 | $0.00029 | $0.00437 |
| Sonnet 5.5 | $0.00014 | $0.00219 |
| Haiku 4.5 | $0.00007 | $0.00109 |
Grade A, and why
context-restore 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 today.
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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context Restore Skill
Overview
This skill restores durable repository memory, decisions, conventions, and active handoff state across Claude Code and Google Antigravity. It prioritizes LLM Wiki Progressive Disclosure (context/memory/MEMORY.md) for ~500-token State 0 handoffs while preserving interactive, user-confirmed restoration for standalone scripted session stores (context/sessions/).
When to Use
Trigger Scenarios
- Orchestrator State 0 Silent Restore: When
context/memory/MEMORY.mdexists, silently absorb cross-AI handoff state (<= 80-100 lines) left by Claude Code or Antigravity. - Explicit User Handoff Resume: "load context", "catch me up", "resume where Claude Code / Antigravity left off".
- Standalone Session Discovery: Inspecting historical archives in
context/sessions/.
When NOT to Use
- Repositories without
context/memory/orcontext/, or when the user explicitly asks to start fresh. - Saving new milestones or handoffs: Route to
context-capture.
Process
Mode A: LLM Wiki Progressive Disclosure (context/memory/ — Primary)
- Read Master Index Only (
~500 tokens): Ifcontext/memory/MEMORY.mdexists, read ONLYcontext/memory/MEMORY.md(<= 80-100 lines) to absorb active host, branch/task, recent decisions, and pointers to rootAGENTS.md(<= 90 lines),DESIGN.md(<= 110 lines), and the last 5 daily logs. - Drill Down Strictly on Demand: Open
context/memory/architecture.md,context/memory/conventions.md,DESIGN.md, or a specificcontext/memory/log/YYYY-MM-DD.mdonly when the active task touches that domain.
Mode B: Interactive Restore for Scripted Sessions (context/sessions/)
- Discover Sessions Non-Invasively:
Ifpython3 ./skills/context-restore/scripts/context_list.py --jsonexists: false, continue normally without noise. - Rank & Ask User Before Loading: Rank recent, matching, or
in-progress/blockedsessions first, then ask the user to selectFull(summary.md,decisions.md,architecture.md,preferences.md),Light(architecture.md+preferences.md),Just list, orSkip(honoringrestore.askBeforeLoadincontext/.contextrc.json). - Ingest Approved Scope & State Adoption: Unpack flows only if needed (
python3 ./skills/context-capture/scripts/context_pack.py --unpack <session-id>), then state adopted decisions, resumed TODOs, and any conflicts with the current prompt.
What ships with it
2 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.
- today First seen · 65 lines · 72 tokens per session scan A 666b017d8eab
context-restore is a skill published in the GitHub repository jggomez/expert-ai-developer-skills (30 stars, last pushed yesterday), licensed Apache-2.0. It adds 72 tokens to every session and 1,093 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 2026-11-06.
context-restore compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| context-restorejggomez/expert-ai-developer-skills | Skill | 30 | yesterday | Apache-2.0 | A | 72 | Claude Code, Codex |
| wegent-knowledgewecode-ai/Wegent | Skill | 882 | yesterday | Apache-2.0 | A | 60 | Claude Code, Codex |
| ASCII Artagentic-in/elephant-agent | Skill | 584 | 2mo ago | none | B | 47 | Claude Code, Codex |
| llm-integrationLuuOW/meridian-mcp | Skill | 0 | 24d ago | MIT | A | 29 | Claude Code, Codex |
| agent-v3-memory-specialistruvnet/ruflo | Skill | 81k | yesterday | MIT | A | 25 | Claude Code |
| statusmem0ai/mem0 | Skill | 68k | 2d ago | Apache-2.0 | A | 54 | Claude Code |
| emerging-techniques-long-contextdavila7/claude-code-templates | Skill | 33k | yesterday | MIT | A | 78 | Claude Code, Codex |