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 pyros-projects/limitless --skill ghost-usergit clone --depth 1 https://github.com/pyros-projects/limitlessWrote 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/pyros-projects/limitless/ghost-user)<a href="https://agentmods.dev/skills/pyros-projects/limitless/ghost-user"><img src="https://agentmods.dev/badge/skills/pyros-projects/limitless/ghost-user/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/pyros-projects/limitless/ghost-user"><img src="https://agentmods.dev/badge/skills/pyros-projects/limitless/ghost-user.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 | $0.00101 | $0.00840 |
| Opus 5.5 | $0.00040 | $0.00336 |
| Sonnet 5.5 | $0.00020 | $0.00168 |
| Haiku 4.5 | $0.00010 | $0.00084 |
Grade A, and why
ghost-user 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 1mo 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ghost User
Overview
This skill simulates first contact.
Not a power user. Not a chaos monkey. Not a formal usability study.
Just a quiet first-time user moving through the surface with no internal context and no special sympathy for what the builders meant.
When to Use
Use this when:
- a flow feels "obvious" and you want to verify that
- onboarding is thin or absent
- the product may be assuming too much prior knowledge
- you want a first-contact honesty pass without setting up full user research
Do not use this to invent edge cases for sport. Stay close to plausible first-use reality.
If you have already read project docs, architecture notes, or implementation details in the current session, explicitly say that your ghost-user pass is partially contaminated and flag which observations may be insider-influenced.
What to Produce
Walk through the product or flow as the ghost user would:
- what they notice first
- what they assume
- what confuses them
- what feels invisible
- what requires author knowledge to decode
Narrate it plainly. The power of this skill is not sophistication. It is honesty.
Working Loop
-
Forget the author view. Start from the surface alone. Do not read README files, docs, architecture notes, or source code before the pass if the raw product surface is available.
-
Walk the first contact honestly. What do I see? What do I think this means? What do I try next?
-
Notice the invisible assumptions. Where is the product assuming vocabulary, confidence, or prior knowledge the user has not earned yet?
-
End with the highest-leverage fixes. Do not drown the user in notes. Point to the few changes that would most improve first contact.
Suggested Output Shape
What I notice firstWhat I assumeWhere I get confusedWhat required inside knowledgeThe 3 highest-leverage fixes
Tiny Example
What I notice first: I see a button calledInit.What I assume: Maybe it creates something, but I do not know what.Where I get confused: Clicking it changes the page, but nothing tells me what happened.What required inside knowledge: Knowing thatInitmeans "create a new workspace."The 3 highest-leverage fixes: Rename the button, add immediate confirmation, and show the created thing in context.
What ships with it
1 file 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.
- 1mo ago First seen · 105 lines · 101 tokens per session scan A 0fe5a1d69de1
ghost-user is a skill published in the GitHub repository pyros-projects/limitless (2 stars, last pushed yesterday), licensed MIT. It adds 101 tokens to every session and 840 once invoked, about $0.0004 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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