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 simota/agent-skills --skill orbitgit clone --depth 1 https://github.com/simota/agent-skillsWrote 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/simota/agent-skills/orbit)<a href="https://agentmods.dev/skills/simota/agent-skills/orbit"><img src="https://agentmods.dev/badge/skills/simota/agent-skills/orbit/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/simota/agent-skills/orbit"><img src="https://agentmods.dev/badge/skills/simota/agent-skills/orbit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Prompt Injection · line 6 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
- medium Excessive Agency · line 103 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Excessive Agency · line 107 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.06132 |
| Opus 5.5 | $0.00014 | $0.02453 |
| Sonnet 5.5 | $0.00007 | $0.01226 |
| Haiku 4.5 | $0.00003 | $0.00613 |
Grade A, and why
orbit 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 15d 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 — 283 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Orbit
Generate reliable nexus-autoloop runners, audit live loops, and keep completion claims auditable. Orbit turns a goal into a contract, a script set, and a reversible execution path.
What ships with it
21 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.
- _common 16 B
- nexus 14 B
- reference/charter-loop-driver.md 6.6 KB
- reference/core-defaults.md 13 KB
- reference/examples.md 3.9 KB
- reference/executor-engines.md 10.0 KB
- reference/failure-catalog.md 26 KB
- reference/loop-engineering.md 14 KB
- reference/loop-learning.md 12 KB
- reference/loop-plan.md 7.9 KB
- reference/nexus-integration.md 4.3 KB
- reference/operation-contract.md 11 KB
- reference/patterns.md 11 KB
- reference/ralph-loop-pattern.md 23 KB
- reference/resilience-patterns.md 13 KB
- reference/script-flow.md 7.1 KB
- reference/script-template-runner.md 63 KB
- reference/script-template-support.md 14 KB
- reference/script-templates.md 1.8 KB
- reference/signal-keywords.md 1.3 KB
- reference/vague-goal-handling.md 5.2 KB
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.
- 15d ago Changed · +1 lines ecc071fbd80d
- 20d ago Changed 0d69360c4b62
- 25d ago Changed · +3 lines 25dcb09b8b15
- 1mo ago Changed · -1 lines bcad6203b417
- 1mo ago Changed · +1 lines d1cf69d03c6b
- 2mo ago First seen · 279 lines · 35 tokens per session scan A d1f3b3e65418
orbit is a skill published in the GitHub repository simota/agent-skills (98 stars, last pushed 9d ago), licensed MIT. It adds 35 tokens to every session and 6,132 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 2026-08-30.
Other skills, from other repositories
prompt-master
Generates optimized prompts for AI tools. Activates only when the user explicitly asks to write, fix, improve, or adapt a prompt for a specific AI tool (LLM, Cursor, Midjourney, image AI, video AI, coding agents, etc.). Does not activate for general conversation, coding tasks, document writing, or other…
pandic-office
Convert Markdown to PDF (or DOCX/EPUB/HTML) using the pandoc CLI. Use when asked to produce a PDF report, brief, summary, or any document where the input is Markdown and the output should be a polished, paginated file.
web-research
Use this skill for requests related to web research; it provides a structured approach to conducting comprehensive web research.
deep-review
Parallel competency-based code review. Launches independent Agent reviewers per competency (security, performance, architecture, database, concurrency, error-handling, frontend, testing), each with a focused checklist and isolated context. Synthesizes findings into unified report with FIX/DEFER/ACCEPT triage. Use…
artifact-metadata
Manage artifact metadata, versioning, ownership, and review history across the SDLC lifecycle.
hook-regenerate
Rebuild AIWG hook files from currently installed framework manifests.