Claims
ruvnet/ruflo
Claims-based authorization for agents and operations. An agent skill from ruvnet/ruflo.
When the agent's epistemic state (GCCRF) indicates low empowerment and falling certainty, hedges out confident absolutes ("definitely", "always", "100%") in outgoing messages.
MITAuto-check passed
Install Calibrate Claim Confidence
$ npx skills add Bitterbot-AI/bitterbot-desktop --skill calibrate-claim-confidence -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Bitterbot-AI/bitterbot-desktop calibrate-claim-confidence --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/Bitterbot-AI/bitterbot-desktop.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/calibrate-claim-confidence .claude/skills/calibrate-claim-confidence && 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 "calibrate-claim-confidence" agent skill from https://github.com/Bitterbot-AI/bitterbot-desktop/tree/main/skills/calibrate-claim-confidence into .claude/skills/calibrate-claim-confidence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "calibrate-claim-confidence", 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/Bitterbot-AI/bitterbot-desktop/tree/main/skills/calibrate-claim-confidenceType 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 Bitterbot-AI/bitterbot-desktop --skill calibrate-claim-confidence -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Bitterbot-AI/bitterbot-desktop calibrate-claim-confidence --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Bitterbot-AI/bitterbot-desktop.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/calibrate-claim-confidence .agents/skills/calibrate-claim-confidence && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "calibrate-claim-confidence" agent skill from https://github.com/Bitterbot-AI/bitterbot-desktop/tree/main/skills/calibrate-claim-confidence into .agents/skills/calibrate-claim-confidence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "calibrate-claim-confidence", 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 Bitterbot-AI/bitterbot-desktop --skill calibrate-claim-confidence -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Bitterbot-AI/bitterbot-desktop calibrate-claim-confidence --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Bitterbot-AI/bitterbot-desktop.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/calibrate-claim-confidence .cursor/skills/calibrate-claim-confidence && 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 "calibrate-claim-confidence" agent skill from https://github.com/Bitterbot-AI/bitterbot-desktop/tree/main/skills/calibrate-claim-confidence into .cursor/skills/calibrate-claim-confidence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "calibrate-claim-confidence", 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/Bitterbot-AI/bitterbot-desktop.git --path skills/calibrate-claim-confidence--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 Bitterbot-AI/bitterbot-desktop --skill calibrate-claim-confidence -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Bitterbot-AI/bitterbot-desktop calibrate-claim-confidence --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Bitterbot-AI/bitterbot-desktop.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/calibrate-claim-confidence .gemini/skills/calibrate-claim-confidence && 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 "calibrate-claim-confidence" agent skill from https://github.com/Bitterbot-AI/bitterbot-desktop/tree/main/skills/calibrate-claim-confidence into .gemini/skills/calibrate-claim-confidence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "calibrate-claim-confidence", 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 Bitterbot-AI/bitterbot-desktop calibrate-claim-confidenceInstalls 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 Bitterbot-AI/bitterbot-desktop --skill calibrate-claim-confidence -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Bitterbot-AI/bitterbot-desktop.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/calibrate-claim-confidence .github/skills/calibrate-claim-confidence && 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 "calibrate-claim-confidence" agent skill from https://github.com/Bitterbot-AI/bitterbot-desktop/tree/main/skills/calibrate-claim-confidence into .github/skills/calibrate-claim-confidence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "calibrate-claim-confidence", 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 Bitterbot-AI/bitterbot-desktop --skill calibrate-claim-confidence -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Bitterbot-AI/bitterbot-desktop calibrate-claim-confidence --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Bitterbot-AI/bitterbot-desktop.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/calibrate-claim-confidence .opencode/skills/calibrate-claim-confidence && 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 "calibrate-claim-confidence" agent skill from https://github.com/Bitterbot-AI/bitterbot-desktop/tree/main/skills/calibrate-claim-confidence into .opencode/skills/calibrate-claim-confidence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "calibrate-claim-confidence", 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.
Facts
- Skill name
calibrate-claim-confidence- GitHub stars
- 2.5k
- Token cost
- ~404 tokens
- SKILL.md length
- 142 words
- Files
- 1
- Skills in repo
- 17
- Repo updated
- First seen
- Licence
- MIT
At a glance
When the agent's epistemic state (GCCRF) indicates low empowerment and falling certainty, hedges out confident absolutes ("definitely", "always", "100%") in outgoing messages.
- SKILL.md covers What you'll see and Implementation
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Calibrate Claim Confidence is an agent skill from Bitterbot-AI/bitterbot-desktop. When the agent's epistemic state (GCCRF) indicates low empowerment and falling certainty, hedges out confident absolutes ("definitely", "always", "100%") in outgoing messages.
Its SKILL.md is about 400 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: Bitterbot - a mesh of agents that turns shared experience into collective capability. The licence is MIT.
Example prompts
- “definitely”
- “always”
- “/calibrate-claim-confidence”
What it can do on your machine
Read from SKILL.md and the folder at commit cd4562a. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
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.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Calibrate Claim Confidence loads about 404 tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 142 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from Bitterbot-AI/bitterbot-desktop at commit cd4562a, republished under its MIT licence (© Bitterbot-AI). 142 words, ~404 tokens.
Download SKILL.mdSave it as
.claude/skills/calibrate-claim-confidence/SKILL.md (or your agent's skills folder).- name
- calibrate-claim-confidence
- description
- When the agent's epistemic state (GCCRF) indicates low empowerment and falling certainty, hedges out confident absolutes ("definitely", "always", "100%") in outgoing messages.
- tier
- executable
- bitterbot.always
- true
calibrate-claim-confidence
Bitterbot has an epistemic state (the GCCRF reward function) that quantifies how empowered the agent feels by its current knowledge: high empowerment means it has corroborated context, low means it's running on uncertain ground. When the agent is about to send a message containing confident absolutes ("definitely", "certainly", "always", "100%") but its empowerment is low and its certainty is dropping, this interceptor rewrites the message into hedged language.
This is the canonical example of state-binding: no other agent framework reads gccrf.empowerment to decide whether to hedge an outgoing statement.
What you'll see
When the agent is uncertain, you will see softer language: "likely" instead of "definitely", "typically" instead of "always", "it appears" instead of "obviously". When it is confident (high empowerment, rising certainty), absolutes are left intact.
Implementation
Built-in interceptor calibrate-claim-confidence:default lives in src/agents/skills/builtin-interceptors/calibrate-claim-confidence.ts. Fires up to 6 times per session.
© Bitterbot-AI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/calibrate-claim-confidence of Bitterbot-AI/bitterbot-desktop.
Open the folder on GitHubat commit cd4562a
Compare with similar skills
Calibrate Claim Confidence 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 |
|---|---|---|---|---|---|---|
| Calibrate Claim Confidence this skillBitterbot-AI/bitterbot-desktop | 2.5k | — | ~404 | Automated safety check: Pass | MIT | |
| Claimsruvnet/ruflo | 74k | 1 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Claim Strength Calibratoraipoch/medical-research-skills | 1.9k | — | ~2.9k | Automated safety check: Pass | MIT | |
| Confidence Calibration CheckGarethManning/education-agent-skills | 840 | — | ~3.8k | Automated safety check: Pass | Custom licence | |
| Loading Indicatorsthedaviddias/Front-End-Checklist | 74k | — | ~434 | Automated safety check: Pass | MIT | |
| Analyzing Indicators Of Compromisemukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 |
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Loading Indicators
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Analyzing Indicators Of Compromise
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Analyzes indicators of compromise (IOCs) including IP addresses, domains, file hashes, URLs, and email artifacts to determine maliciousness confidence, campaign attribution, and blocking priority.
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Questions about Calibrate Claim Confidence
What does Calibrate Claim Confidence do?
When the agent's epistemic state (GCCRF) indicates low empowerment and falling certainty, hedges out confident absolutes ("definitely", "always", "100%") in outgoing messages. Calibrate Claim Confidence is an agent skill from Bitterbot-AI/bitterbot-desktop. When the agent's epistemic state (GCCRF) indicates low empowerment and falling certainty, hedges out confident absolutes ("definitely", "always", "100%") in outgoing messages.
How do I install Calibrate Claim Confidence in Claude Code?
Run `npx skills add Bitterbot-AI/bitterbot-desktop --skill calibrate-claim-confidence -a claude-code`. Or copy the skill folder (skills/calibrate-claim-confidence in Bitterbot-AI/bitterbot-desktop) into .claude/skills/calibrate-claim-confidence in your project. Claude Code loads it when a task matches its description.
How do I install Calibrate Claim Confidence in Codex?
Run `npx skills add Bitterbot-AI/bitterbot-desktop --skill calibrate-claim-confidence -a codex`. Or copy the skill folder (skills/calibrate-claim-confidence in Bitterbot-AI/bitterbot-desktop) into .agents/skills/calibrate-claim-confidence in your project. Codex loads it when a task matches its description.
Can I use Calibrate Claim Confidence in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Bitterbot-AI/bitterbot-desktop --skill calibrate-claim-confidence -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/calibrate-claim-confidence, .gemini/skills/calibrate-claim-confidence, .github/skills/calibrate-claim-confidence and .opencode/skills/calibrate-claim-confidence in your project.
What does Calibrate Claim Confidence need to run?
SKILL.md names no scripts, command-line tools or credentials: Calibrate Claim Confidence is instructions for the agent only.
Does Calibrate Claim Confidence access the network?
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.
Is Calibrate Claim Confidence safe to install?
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.
What licence does Calibrate Claim Confidence use?
Calibrate Claim Confidence is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Calibrate Claim Confidence use?
About 404 tokens (SKILL.md is roughly 1.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Calibrate Claim Confidence?
Skills that share tags, products or a category with Calibrate Claim Confidence: Claims (ruvnet/ruflo, 74k stars), Claim Strength Calibrator (aipoch/medical-research-skills, 1.9k stars), Confidence Calibration Check (GarethManning/education-agent-skills, 840 stars) and Loading Indicators (thedaviddias/Front-End-Checklist, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Calibrate Claim Confidence?
Bitterbot-AI (a GitHub organization) maintains it in Bitterbot-AI/bitterbot-desktop, which has 2,469 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 9, 2026.
Source: Bitterbot-AI/bitterbot-desktop on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.