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-mmm-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-mmm-workflow)<a href="https://agentmods.dev/skills/getsimba-ai/simba-mcp/simba-mmm-workflow"><img src="https://agentmods.dev/badge/skills/getsimba-ai/simba-mcp/simba-mmm-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-mmm-workflow"><img src="https://agentmods.dev/badge/skills/getsimba-ai/simba-mcp/simba-mmm-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 | $0.00036 | $0.00330 |
| Opus 5.5 | $0.00014 | $0.00132 |
| Sonnet 5.5 | $0.00007 | $0.00066 |
| Haiku 4.5 | $0.00004 | $0.00033 |
Grade A, and why
simba-mmm-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 25d 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
Build an MMM
- For new data, call get_data_schema and validate exact columns, roles and row requirements. Read building before upload or creation.
- Discover backend capabilities only for the operation being planned, such as a new model family or publication. Do not add discovery to simple existing-result questions.
- Before overriding priors, read priors, including anchor pairing and effective-configuration checks.
- Preserve requested settings. Stop on unsupported capabilities rather than removing them. Model fitting requires user authorisation and an agreed scope.
- Poll with backoff. On uncertain writes reconcile existing state; never create another fit just because the response or heartbeat is late.
- Check the returned configuration, diagnostics and limitations before interpreting output. A completed fit is not scientific acceptance.
For an existing model's results use the results topic via get_workflow_guidance if that Skill is not installed. Guidance does not grant permission to write.
For advanced parameters or sections not covered here, read the full tool contract before calling.
Role availability: authoring/building uses full/data_scientist. Marketer and reviewer stop before excluded calls and reconnect with an explicit full profile. Check existing dataset/schema prerequisites, declared roles and fit authority. Synthetic build example.
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.
- 25d ago Changed · +2 lines 9c1f5565fa4d
- 28d ago Changed · -181 lines · -24 tokens per session 41d9ea9dbc58
- 1mo ago Changed · +21 lines 7b346867cf7f
- 1mo ago Changed · +48 lines 106fd7672d9c
- 1mo ago Changed · +16 lines 95c3f5b1af7a
- 1mo ago Changed · +19 lines eefb62bc0cbf
- 1mo ago Changed · +26 lines f3a84477720e
- 1mo ago First seen · 71 lines · 60 tokens per session scan A a5861d1fa5f8
simba-mmm-workflow is a skill published in the GitHub repository getsimba-ai/simba-mcp (3 stars, last pushed 14d ago), licensed MIT. It adds 36 tokens to every session and 330 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 2026-08-31.
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