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 getsimba-ai/simba-mcp --skill simba-studies-workflowgit clone --depth 1 https://github.com/getsimba-ai/simba-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/getsimba-ai/simba-mcp/simba-studies-workflow)<a href="https://agentmods.dev/skills/getsimba-ai/simba-mcp/simba-studies-workflow"><img src="https://agentmods.dev/badge/skills/getsimba-ai/simba-mcp/simba-studies-workflow/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/getsimba-ai/simba-mcp/simba-studies-workflow"><img src="https://agentmods.dev/badge/skills/getsimba-ai/simba-mcp/simba-studies-workflow.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 | $0.00035 | $0.00290 |
| Opus 5.5 | $0.00014 | $0.00116 |
| Sonnet 5.5 | $0.00007 | $0.00058 |
| Haiku 4.5 | $0.00003 | $0.00029 |
Grade A, and why
simba-studies-workflow 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 14d 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
Work with Studies
- Check operation-specific backend capabilities, the study, policy and attempt/concurrency budgets before authoring or launching.
- Read authoring for import, draft publication, recipe inspection or edits. Preserve unedited snapshot fields and inspect revision diffs.
- Read recovery before launch, cancellation or retry. Reuse the exact submission key and inputs after an uncertain launch; cancellation requested is not cancellation complete.
- Read review before evaluating or recommending. Bind conclusions to the policy, immutable revision and saved evidence.
- Missing diagnostics do not pass. In-sample fit does not establish holdout validation; declare validation requirements and provenance before using prediction evidence.
- A recommendation is a handoff to a person. No acceptable candidate is a valid conclusion. Guidance cannot authorise acceptance or bypass budgets.
Role availability: all profiles inspect Studies evidence; reviewer/full can record authorised assessments/declarations/recommendations; authoring, policy changes and launches require full. Missing-evidence example preserves not_evaluated and never claims promotion.
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.
- 14d ago Changed · +2 lines fe7a7d412f9d
- 17d ago First seen · 16 lines · 35 tokens per session scan A d1ebcf88f573
simba-studies-workflow is a skill published in the GitHub repository getsimba-ai/simba-mcp (3 stars, last pushed 3d ago), licensed MIT. It adds 35 tokens to every session and 290 once invoked, about $0.0001 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 2026-09-30.
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