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Agent skill

Recall Before Claim

by Bitterbot-AI in Bitterbot-AI/bitterbot-desktop

Forces a memorysearch before the agent sends a message containing a factual assertion that has not yet been grounded this turn.

MITAuto-check passedResearch & Science

Install Recall Before Claim

skills CLI
$ npx skills add Bitterbot-AI/bitterbot-desktop --skill recall-before-claim -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Bitterbot-AI/bitterbot-desktop recall-before-claim --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Bitterbot-AI/bitterbot-desktop.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/recall-before-claim .claude/skills/recall-before-claim && rm -rf skills-src

Use ~/.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/

Facts

Skill name
recall-before-claim
GitHub stars
2.5k
Token cost
~504 tokens
SKILL.md length
219 words
Files
1
Skills in repo
17
Repo updated
First seen
Licence
MIT

At a glance

Forces a memorysearch before the agent sends a message containing a factual assertion that has not yet been grounded this turn.

  • Tasks that involve Citation management
  • SKILL.md covers Why this exists, What you'll see, How it decides not to fire and Implementation
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Recall Before Claim is an agent skill from Bitterbot-AI/bitterbot-desktop. Forces a memorysearch before the agent sends a message containing a factual assertion that has not yet been grounded this turn. Closes the citation-rate gap from ~40% to ~90%+.

Its SKILL.md is about 500 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Citation management. The repository describes itself as: Bitterbot - a mesh of agents that turns shared experience into collective capability. The licence is MIT.

When your agent uses it

  • Tasks that involve Citation management

Example prompts

  • “Use the recall-before-claim skill to force a memorysearch before the agent sends a message containing a factual assertion that has not yet been…”
  • “/recall-before-claim”

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

Recall Before Claim loads about 504 tokens when it runs. Until then it costs about 49 tokens; SKILL.md has 219 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~49
When it runs · the whole SKILL.md, loaded when a task matches
~504

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). 219 words, ~504 tokens.

Download SKILL.mdSave it as .claude/skills/recall-before-claim/SKILL.md (or your agent's skills folder).
name
recall-before-claim
description
Forces a memory_search before the agent sends a message containing a factual assertion that has not yet been grounded this turn. Closes the citation-rate gap from ~40% to ~90%+.
tier
executable
bitterbot.always
false

recall-before-claim

This skill installs a deterministic guard around the agent's outgoing messages. When the candidate message contains a factual-assertion shape ("X is Y", "A did B") and no memory tool (memory_search / deep_recall / knowledge_graph_search) has fired in the current turn, the interceptor requires a memory_search call against the assertion's subject before the message goes out.

Why this exists

Bitterbot has a strong memory system, but it only helps the user if the agent actually consults it before making claims. In practice the agent skips memory recall a meaningful fraction of the time — relying on its in-context knowledge instead. This produces ungrounded assertions that the user has no easy way to spot.

The interceptor closes that loop without depending on the LLM remembering to do it.

What you'll see

When this fires, the agent will run a memory_search first, integrate the result, and then send. You may notice slightly longer responses to factual questions; you should notice that the agent stops making confidently wrong statements about things it actually has memory of.

How it decides not to fire

  • Opinion shapes ("I think", "maybe", "in my opinion") are skipped.
  • Questions are skipped.
  • If a memory tool already fired in the last ~30 seconds, the assertion is considered grounded.

Implementation

Built-in interceptor recall-before-claim:default lives in src/agents/skills/builtin-interceptors/recall-before-claim.ts. Fires at most 8 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/recall-before-claim of Bitterbot-AI/bitterbot-desktop.

Open the folder on GitHubat commit cd4562a

Compare with similar skills

Recall Before Claim 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.

Recall Before Claim compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Recall Before Claim this skillBitterbot-AI/bitterbot-desktop2.5k—~504Automated safety check: PassMIT
Content Research Writerweapp-tailwindcss/weapp-tailwindcss1.9k25 repos~3.5kAutomated safety check: PassMIT
Systematic Review ScreenerImbad0202/academic-research-skills51k—~8.4kAutomated safety check: PassCustom licence
NetworkxzLanqing/codex-claude-academic-skills4.7k15 repos~3.2kAutomated safety check: PassBSD-3-Clause
Literature Reviewneflibata-feng/MyArxiv-Agent12620 repos~5.9kAutomated safety check: NotesMIT
Openalex Databaseneflibata-feng/MyArxiv-Agent12612 repos~3kAutomated safety check: PassCustom licence

Similar skills

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Categories

Questions about Recall Before Claim

What does Recall Before Claim do?

Forces a memorysearch before the agent sends a message containing a factual assertion that has not yet been grounded this turn. Recall Before Claim is an agent skill from Bitterbot-AI/bitterbot-desktop. Forces a memorysearch before the agent sends a message containing a factual assertion that has not yet been grounded this turn.

When should I use Recall Before Claim?

Recall Before Claim fits situations like: tasks that involve Citation management.

How do I install Recall Before Claim in Claude Code?

Run `npx skills add Bitterbot-AI/bitterbot-desktop --skill recall-before-claim -a claude-code`. Or copy the skill folder (skills/recall-before-claim in Bitterbot-AI/bitterbot-desktop) into .claude/skills/recall-before-claim in your project. Claude Code loads it when a task matches its description.

How do I install Recall Before Claim in Codex?

Run `npx skills add Bitterbot-AI/bitterbot-desktop --skill recall-before-claim -a codex`. Or copy the skill folder (skills/recall-before-claim in Bitterbot-AI/bitterbot-desktop) into .agents/skills/recall-before-claim in your project. Codex loads it when a task matches its description.

Can I use Recall Before Claim 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 recall-before-claim -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/recall-before-claim, .gemini/skills/recall-before-claim, .github/skills/recall-before-claim and .opencode/skills/recall-before-claim in your project.

What does Recall Before Claim need to run?

SKILL.md names no scripts, command-line tools or credentials: Recall Before Claim is instructions for the agent only.

Does Recall Before Claim 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 Recall Before Claim 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 Recall Before Claim use?

Recall Before Claim 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 Recall Before Claim use?

About 504 tokens (SKILL.md is roughly 2k 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 Recall Before Claim?

Skills that share tags, products or a category with Recall Before Claim: Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars), Systematic Review Screener (Imbad0202/academic-research-skills, 51k stars), Networkx (zLanqing/codex-claude-academic-skills, 4.7k stars) and Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Recall Before Claim?

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.