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 l1veIn/rambledesk --skill ramblegit clone --depth 1 https://github.com/l1veIn/rambledeskWrote 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/l1vein/rambledesk/ramble)<a href="https://agentmods.dev/skills/l1vein/rambledesk/ramble"><img src="https://agentmods.dev/badge/skills/l1vein/rambledesk/ramble/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/l1vein/rambledesk/ramble"><img src="https://agentmods.dev/badge/skills/l1vein/rambledesk/ramble.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00081 | $0.02486 |
| Opus 5.5 | $0.00032 | $0.00994 |
| Sonnet 5.5 | $0.00016 | $0.00497 |
| Haiku 4.5 | $0.00008 | $0.00249 |
Grade A, and why
ramble scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ramble — run a human-feedback loop through RambleDesk
Route anything that needs a real human's judgment, review, approval, or hands-on experience through the RambleDesk feedback loop instead of asking in chat.
Invocation contract
- Treat explicit invocation as a command, not a hint. If the user invokes
/ramble,$ramble,[$ramble], names this skill as the way to handle the task, or asks for RambleDesk feedback, create the first RambleDesk request before substantive advice, design, review, or implementation. - Treat
/ramble [task]as a task-scoped loop. Guarantee the first request, then create later serialized requests only when the same task needs another clarification, review, or final confirmation. Do not carry the loop into an unrelated future task. - Treat an empty argument or a generic starter such as "start this Ramble" or
"Let's work on something together" as no meaningful task:
- If the conversation already contains one clear active task, summarize the current understanding in the kickoff request and ask the human to confirm or correct it while supplying any missing context, constraints, desired output, priorities, and completion criteria.
- Otherwise create a kickoff request asking the human for the goal, relevant context and materials, constraints, desired output, priorities, and completion criteria.
- Ask for this task brief in RambleDesk, never in the host chat.
- Treat
/ramble_onand/ramble_off, when the host provides them, as persistent-mode switches rather than one-task skill invocations. - Use this skill implicitly when human testing, visual inspection, screenshots, clarification, or a decision would materially improve the result.
- Do not treat a meta request to inspect, edit, or debug this skill as a request to create feedback unless the user also explicitly asks to run the loop.
Select the available flow
If the current session includes RambleDesk managed workflow context (or
RAMBLEDESK_MANAGED_SESSION=1), follow that context first. Use the application
command supplied by RAMBLEDESK_COMMAND: feedback request --input <json-file>,
then end the Agent turn. RambleDesk resumes this same conversation after human
feedback; use feedback get --request-id <original-id> to read it. Use
feedback recover after an interruption. Do not select the native adapter or
Generic MCP flows below, do not poll or block, and never choose host/session
identifiers yourself. The private capability is supplied by the runtime;
missing credentials require reconnecting this session, never external fallback.
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.
- 11d ago Changed · +27 lines 14137995a2df
- 22d ago Changed · +7 lines c8177bdcb2eb
- 26d ago Changed · +28 lines 253113bad8ac
- 1mo ago Changed · +2 lines c15be4a02b02
- 1mo ago Changed · +10 lines d2056abbeb5e
- 1mo ago First seen · 118 lines · 81 tokens per session scan A 9e9b56062cb6
ramble is a skill published in the GitHub repository l1veIn/rambledesk (27 stars, last pushed 11d ago), licensed MIT. It adds 81 tokens to every session and 2,486 once invoked, about $0.0003 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.
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