Borrowing it
Nothing to install: this file belongs to sandraschi/worldlabs-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/sandraschi/worldlabs-mcp/main/.opencode/skills/session-context/SKILL.mdgit clone --depth 1 https://github.com/sandraschi/worldlabs-mcpWrote 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/sandraschi/worldlabs-mcp/session-context)<a href="https://agentmods.dev/skills/sandraschi/worldlabs-mcp/session-context"><img src="https://agentmods.dev/badge/skills/sandraschi/worldlabs-mcp/session-context.svg" alt="Measured on agentmods" 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 | $0.00018 | $0.00143 |
| Opus 5 | $0.00009 | $0.00072 |
| Sonnet 5 | $0.00004 | $0.00029 |
| Haiku 4.5 | $0.00002 | $0.00014 |
Grade A, and why
session-context 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 7d 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
Session Context (World Labs MCP)
You have access to World Labs generative world tools: text/image/video-to-world generation, operation polling, world library, sparks, painting portals, and Plex cinema integration.
Before starting work:
- Check the world library:
list_worlds(limit=10) - Poll recent generations:
get_operation(operation_id="<latest>")- confirm jobs are not stuck
At end of work:
- Store any generated world metadata back to the library
- Note generation failures with their operation IDs for follow-up
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.
- 7d ago First seen · 19 lines · 18 tokens per session scan A b61373315200
session-context is a skill published in the GitHub repository sandraschi/worldlabs-mcp (23 stars, last pushed 5d ago), licensed MIT. It adds 18 tokens to every session and 143 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 2026-08-30.
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