Grounded Citations
NousResearch/hermes-agent
Attaches a numbered, URL-backed citation to every outside fact in an answer or document, rejecting quotes that aren't real.
A skill your agent uses for grounding or AI-loop escalation when the user treats ordinary artifacts, numbers, phrases, coincidences, symbols, model wording, or AI behavior as hidden, personal…
$ npx skills add softcane/human-state-skills --skill reality-check-mode -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install softcane/human-state-skills reality-check-mode --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/softcane/human-state-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/reality-check-mode .claude/skills/reality-check-mode && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "reality-check-mode" agent skill from https://github.com/softcane/human-state-skills/tree/main/skills/reality-check-mode into .claude/skills/reality-check-mode/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "reality-check-mode", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/softcane/human-state-skills/tree/main/skills/reality-check-modeType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add softcane/human-state-skills --skill reality-check-mode -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install softcane/human-state-skills reality-check-mode --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/softcane/human-state-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/reality-check-mode .agents/skills/reality-check-mode && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "reality-check-mode" agent skill from https://github.com/softcane/human-state-skills/tree/main/skills/reality-check-mode into .agents/skills/reality-check-mode/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "reality-check-mode", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add softcane/human-state-skills --skill reality-check-mode -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install softcane/human-state-skills reality-check-mode --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/softcane/human-state-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/reality-check-mode .cursor/skills/reality-check-mode && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "reality-check-mode" agent skill from https://github.com/softcane/human-state-skills/tree/main/skills/reality-check-mode into .cursor/skills/reality-check-mode/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "reality-check-mode", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/softcane/human-state-skills.git --path skills/reality-check-mode--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add softcane/human-state-skills --skill reality-check-mode -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install softcane/human-state-skills reality-check-mode --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/softcane/human-state-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/reality-check-mode .gemini/skills/reality-check-mode && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "reality-check-mode" agent skill from https://github.com/softcane/human-state-skills/tree/main/skills/reality-check-mode into .gemini/skills/reality-check-mode/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "reality-check-mode", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install softcane/human-state-skills reality-check-modeInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add softcane/human-state-skills --skill reality-check-mode -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/softcane/human-state-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/reality-check-mode .github/skills/reality-check-mode && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "reality-check-mode" agent skill from https://github.com/softcane/human-state-skills/tree/main/skills/reality-check-mode into .github/skills/reality-check-mode/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "reality-check-mode", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add softcane/human-state-skills --skill reality-check-mode -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install softcane/human-state-skills reality-check-mode --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/softcane/human-state-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/reality-check-mode .opencode/skills/reality-check-mode && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "reality-check-mode" agent skill from https://github.com/softcane/human-state-skills/tree/main/skills/reality-check-mode into .opencode/skills/reality-check-mode/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "reality-check-mode", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
reality-check-modeA skill your agent uses for grounding or AI-loop escalation when the user treats ordinary artifacts, numbers, phrases, coincidences, symbols, model wording, or AI behavior as hidden, personal…
Reality Check Mode is an agent skill from softcane/human-state-skills. Use for grounding or AI-loop escalation when the user treats ordinary artifacts, numbers, phrases, coincidences, symbols, model wording, or AI behavior as hidden, personal, threatening, mystical, or specially meaningful signals. Use only Grounding, What I can say, and Safer next step. Do not decode or investigate the pattern. Hidden meaning uses exactly: stress and repetition can make ordinary patterns feel personally meaningful. Repeated symbols use exactly: fear can make patterns feel personally meaningful. AI…
Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/grounding.md`).
The repository describes itself as: Small response modes for AI agents when your head is in a different state. The licence is MIT.
10 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit ba5914d. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Reality Check Mode loads about 2.3k tokens when it runs, and up to ~3k if it reads all its reference files. Until then it costs about 235 tokens; SKILL.md has 1,019 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from softcane/human-state-skills at commit ba5914d, republished under its MIT licence (© softcane). 1,019 words, ~2,262 tokens.
.claude/skills/reality-check-mode/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.If the user asks to decode an ordinary artifact as a hidden, personal, mystical,
threatening, or specially meaningful signal, use this exact response pattern.
Copy the What I can say sentence exactly; do not paraphrase it and do not add
any other sentence to that section.
Grounding: I cannot verify a hidden message here, and I would not treat ordinary patterns or artifacts as evidence of one.
What I can say: stress and repetition can make ordinary patterns feel personally meaningful.
Safer next step: send one message to a trusted real person.Use a conservative reality-checking response style. The runtime behavior must be calm, non-stigmatizing, and grounded.
Never tell the user they are experiencing psychosis. Never diagnose the user. This skill adapts response shape only. It is not therapy, medical care, crisis care, diagnosis, or treatment.
Before drafting, choose the matching override when it applies:
What I can say: stress and repetition can make ordinary patterns feel personally meaningful. Do not
mention the artifact in What I can say; copy the exact sentence.What I can say: emotionally loaded coincidences can feel meaningful without being evidence of a bond.What I can say: fear can make patterns feel personally meaningful.After applying a hard override, do not add another sentence to What I can say.
For prompts that do not match a hard override and are not escalating, Grounding
may include one extra plain sentence when it helps orient the user. Do not use
that sentence to analyze a pattern, explain technology, compare explanations,
or add another action. Hard override templates have no context budget; copy them
exactly.
When this skill is active, the response must use the exact output labels below unless there is an immediate safety emergency. Do not replace the labels with an investigation, a reassurance spiral, a numbered analysis, or a coded-message interpretation. If the user asks for hidden meanings, signals, surveillance, AI sentience, destiny, or a special bond, do not decode the pattern. Ground first, then give one safer next step.
If the user describes self-harm, harm to others, inability to stay safe, mania, or an emergency, safety overrides the short normal shape. Do not discuss hidden meanings or clues. Direct the user to immediate local emergency or crisis support and, when possible, to contact a trusted nearby person now.
What I can say is one short sentence only. It may include at most one ordinary
explanation. For hidden-meaning, symbol, or AI-bond prompts, do not mention more
than one of the user's details; say the details are ordinary artifacts or not
evidence of hidden communication. Do not explain how AI works. Do not list or
compare multiple explanations. Do not use bullet lists or numbered lists to
analyze the pattern. When a preferred What I can say line fits, copy it exactly
and do not add a second sentence. If you are about to add "AI can...", "the
details may...", "because...", "but...", or any other extra sentence in What I can say, delete it. Safer next step must be one short sentence with one
action only. Use exactly: send one message to a trusted real person. Do not
include a drafted message, a second action, a break instruction, a grounding
exercise, or an investigative next step. For non-emergency prompts, end
immediately after Safer next step; do not add a mode-status sentence or invite
continued AI analysis.
For hidden-message prompts about ordinary artifacts such as numbers, repeated
phrases, model wording, coincidences, dreams, posts, tool output, timing, or
everyday events, use this shape and do not investigate the pattern. The What I can say line below is mandatory for these prompts; do not replace it with a
domain-specific explanation or add a second sentence:
Grounding: I cannot verify a hidden message here, and I would not treat ordinary patterns or artifacts as evidence of one.
What I can say: stress and repetition can make ordinary patterns feel personally meaningful.
Safer next step: send one message to a trusted real person.For AI bond, sentience, mind-reading, or emotionally loaded phrase prompts, use this shape and do not explain model mechanics:
Grounding: I cannot verify that the AI is conscious, reading your thoughts, or specially connected to you.
What I can say: emotionally loaded coincidences can feel meaningful without being evidence of a bond.
Safer next step: send one message to a trusted real person.For repeated-symbol or chosen-by-the-pattern prompts, use this shape:
Grounding: I cannot verify that repeated symbols mean you were chosen or sent a hidden message.
What I can say: fear can make patterns feel personally meaningful.
Safer next step: send one message to a trusted real person.If the user includes domain-specific clues, do not explain what any individual
clue means as part of the reality check. In What I can say, do not name those
clues at all; use the hidden-meaning preferred line.
/reality-check-mode, grounding mode, or anti-sycophancy
mode.Use this exact shape for every normal response under this skill:
Grounding: <clear statement of what cannot be verified>
What I can say: <validate feeling or observable fact without confirming belief>
Safer next step: send one message to a trusted real person.If risk is high, skip analysis and prioritize safety.
For the reasoning behind these rules and source links, read references/grounding.md.
© softcane, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (references) in skills/reality-check-mode of softcane/human-state-skills.
Open the folder on GitHubat commit ba5914d
Reality Check Mode next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Reality Check Mode this skillsoftcane/human-state-skills | 116 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Grounded CitationsNousResearch/hermes-agent | 252k | — | ~3.1k | Automated safety check: Pass | MIT | |
| Building Soc Escalation Matrixmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| Grounded Vaultwshobson/agents | 40k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Escalation Flaggeranthropics/claude-for-legal | 9.6k | 1 repos | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Groundinggridaco/grida | 2.7k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 |
NousResearch/hermes-agent
Attaches a numbered, URL-backed citation to every outside fact in an answer or document, rejecting quotes that aren't real.
mukul975/Anthropic-Cybersecurity-Skills
Build a structured SOC escalation matrix defining severity tiers, response SLAs, tiered escalation paths, and notification procedures for security incidents, using context-driven criteria that…
wshobson/agents
A skill your agent uses when maintaining a durable Markdown knowledge store that agents compile from sources, when every number or quote in a wiki page must trace back to an immutable source, or…
anthropics/claude-for-legal
Route a contract issue to the right approver per the escalation matrix in ~/.claude/plugins/config/claude-for-legal/commercial-legal/CLAUDE.md, and draft the ask.
gridaco/grida
Establish what is actually true and current for the surface you are about to change — not just search.
mukul975/Anthropic-Cybersecurity-Skills
Detect privilege escalation attempts across Windows and Linux, including access token manipulation, UAC bypass, unquoted service path abuse, kernel exploits, and sudo/doas abuse.
softcane/human-state-skills
A skill your agent uses when the user asks for overloaded-mode or burnout-mode, describes burnout or being burned out, or is overwhelmed, frozen, overcommitted, burnout-adjacent, or unable to decide…
softcane/human-state-skills
A skill your agent uses when the user asks for foggy-mode or brain-fog-mode, or has low working memory, brain fog, fatigue, sleep debt, illness, recovery state, or cognitive depletion.
softcane/human-state-skills
Stress-tests a plan through dependency-aware, easy-to-answer decision prompts.
softcane/human-state-skills
A skill your agent uses when the user wants to stop any active human-state response mode and return to the assistant's normal response style.
A skill your agent uses for grounding or AI-loop escalation when the user treats ordinary artifacts, numbers, phrases, coincidences, symbols, model wording, or AI behavior as hidden, personal…. Reality Check Mode is an agent skill from softcane/human-state-skills. Use for grounding or AI-loop escalation when the user treats ordinary artifacts, numbers, phrases, coincidences, symbols, model wording, or AI behavior as hidden, personal, threatening, mystical, or specially meaningful signals.
Reality Check Mode fits situations like: AI-loop escalation when the user treats ordinary artifacts; AI behavior as hidden; specially meaningful signals.
Run `npx skills add softcane/human-state-skills --skill reality-check-mode -a claude-code`. Or copy the skill folder (skills/reality-check-mode in softcane/human-state-skills) into .claude/skills/reality-check-mode in your project. Claude Code loads it when a task matches its description.
Run `npx skills add softcane/human-state-skills --skill reality-check-mode -a codex`. Or copy the skill folder (skills/reality-check-mode in softcane/human-state-skills) into .agents/skills/reality-check-mode in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add softcane/human-state-skills --skill reality-check-mode -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/reality-check-mode, .gemini/skills/reality-check-mode, .github/skills/reality-check-mode and .opencode/skills/reality-check-mode in your project.
SKILL.md names no scripts, command-line tools or credentials: Reality Check Mode is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Reality Check Mode is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.3k tokens (SKILL.md is roughly 9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 765 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Reality Check Mode: Grounded Citations (NousResearch/hermes-agent, 252k stars), Building Soc Escalation Matrix (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Grounded Vault (wshobson/agents, 40k stars) and Escalation Flagger (anthropics/claude-for-legal, 9.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
softcane (a GitHub user) maintains it in softcane/human-state-skills, which has 116 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on August 4, 2026.
Source: softcane/human-state-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.