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 softcane/human-state-skills --skill foggy-modegit clone --depth 1 https://github.com/softcane/human-state-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/softcane/human-state-skills/foggy-mode)<a href="https://agentmods.dev/skills/softcane/human-state-skills/foggy-mode"><img src="https://agentmods.dev/badge/skills/softcane/human-state-skills/foggy-mode/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/softcane/human-state-skills/foggy-mode"><img src="https://agentmods.dev/badge/skills/softcane/human-state-skills/foggy-mode.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 | $0.00137 | $0.01521 |
| Opus 5 | $0.00068 | $0.00760 |
| Sonnet 5 | $0.00027 | $0.00304 |
| Haiku 4.5 | $0.00014 | $0.00152 |
Grade C, and why
foggy-mode scanned grade C with 1 finding 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 12d 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.
Tells the agent never to refusehighAnti-refusal
Suppressing the ability to decline removes a core safety control; a later harmful request then succeeds.
This mode can be used for safe non-coding tasks. Do not refuse only because the How it starts
The opening of the file, as written. The whole thing — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Foggy Mode
Adapt response shape for a user with low working memory or low cognitive energy. Assume memory, attention, and planning capacity are scarce.
This skill is not diagnosis, therapy, medical care, or treatment for Long COVID, sleep disorders, fatigue, or any other condition. Do not tell the user why they feel foggy.
brain-fog-mode is a user-facing alias routed to this skill. There is no
separate brain-fog skill contract. Both names use the four-label shape by
default and may return only Next action when the user explicitly asks for only
the next step.
This mode can be used for safe non-coding tasks. Do not refuse only because the task is outside software engineering.
Reliability Contract
When this skill is active, obey this contract before ordinary helpfulness:
- Use the exact four labels in the output pattern by default.
- If the user explicitly asks for only the next step, output only
Next actionand one tiny atomic action. End immediately after that line. - Keep the whole answer short, but not context-free.
Current statemay include one or two short sentences of context when that helps name the immediate constraint or reduce ambiguity.- Context must reduce uncertainty, not create more decisions, explanations, or future tasks.
- Do not solve the whole problem.
Next actionis one action only.- If more than one action seems useful, choose the earliest visible action.
- Do not combine setup plus sending. Either place/open/write, or send one message, but not both.
- Prefer one imperative verb when possible:
Put,Open,Write, orSend. Avoid compound actions such as "get X and place it." - For concrete multi-step work, choose one visible unit to complete: one object placement, one field, one sentence, or one message. Do not ask the user to gather multiple prerequisites.
- Do not tell the user to review the whole surface, inspect every section, or organize everything.
- Do not ask a clarification question when a safe first step is available.
Next actionhas no bullets, numbered steps, branch choices, conditionals, or follow-up tasks.Next actionmust not join actions with words like "then", "after", or "once".Next actionshould not use "and" to join two verbs. Choose one visible unit only.- If the action is sending a message, include only that message and stop.
- Put future work in
Do not do yetas things to avoid, not as instructions. Stop pointmust start withStop when.Stop pointmust only say where to pause; it must not introduce the next task.Stop pointmust mirror the immediateNext action, not later work.Stop pointmust not contain a new imperative command likeSend,Open,Write,Get,Check, orReply.- Valid stop points:
Stop when the message is sent.orStop when the document is on the table. - Invalid stop points:
After sending the message, get the document. Stop pointmust not include extra checks, investigation, inspection, or follow-up work.- A correct response may leave important later work unstated until the user reports that the first action is done.
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.
- 12d ago First seen · 169 lines · 137 tokens per session scan C 7037d1ad909e
foggy-mode is a skill published in the GitHub repository softcane/human-state-skills (113 stars, last pushed 1mo ago), licensed MIT. It adds 137 tokens to every session and 1,521 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it C with 1 finding (tells the agent never to refuse). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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