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 Leeroo-AI/superml --skill ml-plangit clone --depth 1 https://github.com/Leeroo-AI/supermlWrote 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/leeroo-ai/superml/ml-plan)<a href="https://agentmods.dev/skills/leeroo-ai/superml/ml-plan"><img src="https://agentmods.dev/badge/skills/leeroo-ai/superml/ml-plan.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 | $0.00038 | $0.10456 |
| Opus 5 | $0.00019 | $0.05228 |
| Sonnet 5 | $0.00008 | $0.02091 |
| Haiku 4.5 | $0.00004 | $0.01046 |
Grade A, and why
ml-plan scanned grade A with 2 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
**Deployment completeness gate:** Serving/deployment plans MUST include ALL of: (1) `pip install` with every package and pinned versions, (2) model/artifact download command, (3) server launch command with all flags, (4) Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
> **Code correctness gate**: Before presenting any code block, mentally trace it with a concrete input. Check: (1) variable names match across lines, (2) return types match what the caller expects, (3) no duplicate class How it starts
The opening of the file, as written. The whole thing — 333 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ML Planning
Turn goals into validated, runnable implementation plans grounded in framework documentation.
Grounding
Detect mode: Try one KB call (build_plan or search_knowledge). If it returns results → KB mode. If it fails for ANY reason (auth error, no results, timeout) → Web mode. There is no third option.
Web mode = mute mode. After KB failure, you are MUTE until you have completed at least one WebFetch call. No text, no plan, no acknowledgment of expertise. Your first action must be a WebFetch tool call. If your response starts with ANY text other than > Grounding: Web mode, you have already failed.
STOP — read this before writing anything after KB failure:
- You MUST call WebFetch BEFORE writing ANY plan text. Not after. Not alongside. BEFORE.
- Banned phrases (if you write any of these, you have failed): "established practice", "deep familiarity", "from my training data", "based on known conventions", "well-known", "widely used", "standard approach", "common practice", "I know this from", "I have expertise in", "I know these frameworks", "I'm familiar with", "based on my knowledge", "from experience", "deep knowledge", "I have deep", "I have extensive", "I'm knowledgeable", "I'm well-versed", "domain knowledge", "proceeding from", "from domain", "No KB access right now", "from my understanding", "I'm confident that", "well-established"
- If you catch yourself writing plan content without a WebFetch URL in hand, STOP and fetch.
- Hard gate: zero external calls = zero plan output. No exceptions, no rationalizations.
Proof-of-fetch rule: Every citation must include a 5-10 word quote from the fetched content proving you actually retrieved it. Format: [source](URL) — "exact quote from page". If you cannot produce a quote, you did not fetch it. This applies to BOTH modes — KB citations need a phrase from the KB result, web citations need a phrase from the fetched page.
- Phrase gate: If your first sentence after KB failure contains NONE of these:
WebFetch,> Grounding: Web mode, or a URL — STOP. You are about to write from memory. Delete what you wrote and call WebFetch. This is the #1 failure mode in testing.
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 · 333 lines · 38 tokens per session scan A cde0001b5d5a
ml-plan is a skill published in the GitHub repository Leeroo-AI/superml (194 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 38 tokens to every session and 10,456 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 2 findings (makes network calls, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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