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 commands/themrgu/ai-agent-context-passoff/creategit clone --depth 1 https://github.com/TheMrGU/Ai-Agent-Context-PassoffWhat 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 | $0.00017 | $0.00349 |
| Opus 5 | $0.00009 | $0.00175 |
| Sonnet 5 | $0.00003 | $0.00070 |
| Haiku 4.5 | $0.00002 | $0.00035 |
Grade A, and why
create 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 2d 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.
What it actually says
Passoff Create
Create a clean baton-pass handoff using the configured passoff_* MCP tools.
Preflight
- Confirm the passoff MCP tools are available in this session.
- Inspect the current conversation and working context before writing the handoff.
- If there is not enough meaningful context yet, stop and say so rather than creating a low-value handoff.
Plan
- Summarize the current state from the active session.
- Capture key decisions and rationale.
- List open questions and immediate next steps.
- Call
passoff_createwith a terse structured markdown body.
Commands
Call the passoff_create MCP tool with:
title: short and action-orientedcontent: structured markdown with these sections in order:Current StateDecisions MadeOpen QuestionsNext StepsRelevant Files
from_model: the current model id if knownproject: only if the project identity is clear
Be terse but specific. Include concrete file paths where useful.
Verification
- Confirm the tool call succeeded.
- Verify a handoff id was returned.
- If the call fails, report the failure plainly.
Summary
- Report the handoff title
- Report the returned handoff id
- Report the project scope if available
Next Steps
- Tell the user another AI can resume from the returned id.
- Suggest
/passoff:loadin Codex or the equivalent load flow in another MCP client.
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.
- 2d ago First seen · 54 lines · 17 tokens per session scan A 21dd29248d87
create is a command published in the GitHub repository TheMrGU/Ai-Agent-Context-Passoff (0 stars, last pushed 4mo ago), licensed MIT. It adds 17 tokens to every session and 349 once invoked, about $0.0001 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 2026-08-31.
Other commands, from other repositories
everme-help
Print a concise EverMe plugin status + reference card.
release
Walk the llmwiki release process step by step.
add-agent
引导新增一个 Agent 适配器。用法 /add-agent.
migrate
Command "migrate" from chohra-med/expo_boilerplate, covering invocation, steps and rule.
lians-recall
Recall current (non-stale) facts from Lians memory, optionally as-of a past date.
t800-onboard
Для чата с новичками. Показывает, что настроено в Cursor (global + local), и что умеет отдел T-800.