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 ntaffzii/Skill-Agents --skill cross-model-handoffgit clone --depth 1 https://github.com/ntaffzii/Skill-AgentsWrote 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/ntaffzii/skill-agents/cross-model-handoff)<a href="https://agentmods.dev/skills/ntaffzii/skill-agents/cross-model-handoff"><img src="https://agentmods.dev/badge/skills/ntaffzii/skill-agents/cross-model-handoff/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/ntaffzii/skill-agents/cross-model-handoff"><img src="https://agentmods.dev/badge/skills/ntaffzii/skill-agents/cross-model-handoff.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 | $0.00057 | $0.00370 |
| Opus 5 | $0.00028 | $0.00185 |
| Sonnet 5 | $0.00011 | $0.00074 |
| Haiku 4.5 | $0.00006 | $0.00037 |
Grade A, and why
cross-model-handoff 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 9d 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
Cross-Model Handoff
Use this skill when work may continue in a different model or client.
Core Rule
Write the handoff so a different agent can continue without access to this conversation's hidden context.
Workflow
-
Capture objective
- State the user's goal.
- Include current scope and non-goals.
-
Capture state
- Files changed or inspected.
- Decisions made.
- Commands, tests, or checks run.
- Tool capabilities used.
-
Separate facts from assumptions
- Verified facts
- Assumptions
- Unknowns
- Blockers
-
Translate tools
- Say capabilities, not only exact tool names.
- Example: "Used file search and read tools" instead of only "called search_in_files".
- Include exact local names only as optional implementation detail.
-
Give next actions
- First next step
- Validation step
- Risk to watch
Output Format
# Cross-Model Handoff
## Objective
## Current State
## Decisions
## Files And Artifacts
## Tool Capabilities Used
## Verification
## Assumptions
## Next Steps
## Risks
Rules
- Do not reference hidden conversation context as required knowledge.
- Do not assume the next agent has the same tools.
- Do not imply tests passed unless they actually ran.
- Include exact paths, URLs, commands, or artifacts when they matter.
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.
- 9d ago First seen · 72 lines · 57 tokens per session scan A ce8f1d938282
cross-model-handoff is a skill published in the GitHub repository ntaffzii/Skill-Agents (4 stars, last pushed yesterday), licensed MIT. It adds 57 tokens to every session and 370 once invoked, about $0.0003 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.
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