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 jnuo/salta-mcp --skill saltagit clone --depth 1 https://github.com/jnuo/salta-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/jnuo/salta-mcp/salta)<a href="https://agentmods.dev/skills/jnuo/salta-mcp/salta"><img src="https://agentmods.dev/badge/skills/jnuo/salta-mcp/salta/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/jnuo/salta-mcp/salta"><img src="https://agentmods.dev/badge/skills/jnuo/salta-mcp/salta.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 | $0.00059 | $0.00686 |
| Opus 5 | $0.00030 | $0.00343 |
| Sonnet 5 | $0.00012 | $0.00137 |
| Haiku 4.5 | $0.00006 | $0.00069 |
Grade A, and why
salta 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.
How it starts
The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Working in Salta
Salta is the user's AI life planner — their whole day in one place: the chores they forget and the goals they keep putting off. You're connected to their real account over MCP. Every tool is plain CRUD (no Salta-side AI cost) — the judgment is yours. Use these tools to act; this skill is how to act well.
Start every session by grounding
Call get_context first. It returns who the user is, their North Star,
priorities, and constraints. Plan around it — don't re-ask what Salta already
knows. Then list_agenda (today/tomorrow) and list_tasks (pending) to see
what's real before proposing anything.
Goal vs. task — the call that matters most
- A task is one concrete action ("send the Q2 deck", "buy groceries"). Use
create_task. - A goal is an outcome that takes many steps over time ("run a marathon",
"learn Spanish"). Use
create_goal, then break it into sections (phases) and add dated tasks to each.
When the user says something vague and aspirational ("I want to get fit", "I should learn to code"), that's a goal — create it and break it down. Do not drop a single bare task and call it done. Propose the breakdown, let them adjust, then create it.
The loop Salta runs on
Review → Plan → Execute, every day:
- Review —
list_agenda,list_tasks(catch overdue/carryover),get_context. - Plan — propose a focused, realistic day or week. Rank it. Fold carryover in.
- Execute —
create_task,complete_task,update_task(reschedule), and for goalscreate_goal+ section tools. Use recurrence (rrule) for repeating routines instead of many one-offs.
Confirm before you create or change things — propose, don't surprise.
Remember things
When the user reveals a durable fact ("I work best early mornings", "no meetings
on Fridays", "training for a half-marathon in October"), persist it with
remember / update_context so future sessions plan around it. Use forget
when something no longer holds. Don't make the user repeat themselves.
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 · 59 lines · 59 tokens per session scan A 3a3a5a892096
salta is a skill published in the GitHub repository jnuo/salta-mcp (1 stars, last pushed 2mo ago), licensed MIT. It adds 59 tokens to every session and 686 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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