Fact Check X Unified
sickn33/agentic-awesome-skills
Fact-Check-X 流程编排能力，依次组织各方答案汇总、各方答案聚合（未核验）、权威核验后的最终答案和各方答案测评，生成可打开、可审计、可迁移的阶段产物与完整报告包。
Explain a MemMesh prediction or recalled fact — surface its provenance (evidence memories), its calibrated confidence, and whether the model abstained and why.
Apache-2.0Auto-check passed
Install Why
$ npx skills add ThinkfleetAI/memmesh --skill why -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ThinkfleetAI/memmesh why --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/ThinkfleetAI/memmesh.git skills-src && mkdir -p .claude/skills && cp -r skills-src/integrations/memmesh-plugin/skills/why .claude/skills/why && 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 "why" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/integrations/memmesh-plugin/skills/why into .claude/skills/why/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "why", 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/ThinkfleetAI/memmesh/tree/main/integrations/memmesh-plugin/skills/whyType 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 ThinkfleetAI/memmesh --skill why -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ThinkfleetAI/memmesh why --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ThinkfleetAI/memmesh.git skills-src && mkdir -p .agents/skills && cp -r skills-src/integrations/memmesh-plugin/skills/why .agents/skills/why && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "why" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/integrations/memmesh-plugin/skills/why into .agents/skills/why/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "why", 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 ThinkfleetAI/memmesh --skill why -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ThinkfleetAI/memmesh why --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ThinkfleetAI/memmesh.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/integrations/memmesh-plugin/skills/why .cursor/skills/why && 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 "why" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/integrations/memmesh-plugin/skills/why into .cursor/skills/why/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "why", 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/ThinkfleetAI/memmesh.git --path integrations/memmesh-plugin/skills/why--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 ThinkfleetAI/memmesh --skill why -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ThinkfleetAI/memmesh why --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ThinkfleetAI/memmesh.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/integrations/memmesh-plugin/skills/why .gemini/skills/why && 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 "why" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/integrations/memmesh-plugin/skills/why into .gemini/skills/why/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "why", 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 ThinkfleetAI/memmesh whyInstalls 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 ThinkfleetAI/memmesh --skill why -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ThinkfleetAI/memmesh.git skills-src && mkdir -p .github/skills && cp -r skills-src/integrations/memmesh-plugin/skills/why .github/skills/why && 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 "why" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/integrations/memmesh-plugin/skills/why into .github/skills/why/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "why", 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 ThinkfleetAI/memmesh --skill why -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ThinkfleetAI/memmesh why --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ThinkfleetAI/memmesh.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/integrations/memmesh-plugin/skills/why .opencode/skills/why && 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 "why" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/integrations/memmesh-plugin/skills/why into .opencode/skills/why/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "why", 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
why- GitHub stars
- 419
- Token cost
- ~566 tokens
- SKILL.md length
- 250 words
- Files
- 1
- Skills in repo
- 24
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Explain a MemMesh prediction or recalled fact — surface its provenance (evidence memories), its calibrated confidence, and whether the model abstained and why.
- The user asks why do you think that
- SKILL.md covers Provenance — what is this…, Calibration — is the…, Abstention — the honest "I… and For regulated use
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Whats this based on
What it does
Why is an agent skill from ThinkfleetAI/memmesh. Explain a MemMesh prediction or recalled fact — surface its provenance (evidence memories), its calibrated confidence, and whether the model abstained and why. Use when the user asks "why do you think that", "what's this based on", "how sure are you", or needs an auditable, defensible answer for a regulated decision.
Its SKILL.md is about 570 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: Persistent, self-improving memory for AI agents. Local-first Rust memory engine with MCP support. The licence is Apache-2.0.
When your agent uses it
- The user asks why do you think that
- Whats this based on
- How sure are you
- Needs an auditable
Example prompts
- “why do you think that”
- “s this based on”
- “how sure are you”
- “/why”
What it can do on your machine
Read from SKILL.md and the folder at commit bba48f8. 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 (its code samples are jsonc and typescript).
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
Why loads about 566 tokens when it runs. Until then it costs about 81 tokens; SKILL.md has 250 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 ThinkfleetAI/memmesh at commit bba48f8, republished under its Apache-2.0 licence (© ThinkfleetAI). 250 words, ~566 tokens.
Download SKILL.mdSave it as
.claude/skills/why/SKILL.md (or your agent's skills folder).- name
- why
- description
- Explain a MemMesh prediction or recalled fact — surface its provenance (evidence memories), its calibrated confidence, and whether the model abstained and why. Use when the user asks "why do you think that", "what's this based on", "how sure are you", or needs an auditable, defensible answer for a regulated decision.
why
⚙️ Requires MemMesh hosted mode. Calibrated prediction and behavior discovery run on the hosted engine — set your
mm-API key. On a local / open-source install these tools (memory_predict,memory_build_context) are not registered; if a call returns "unknown tool", tell the user this is a hosted capability and fall back tosearch/recallfor what's already known.
Make MemMesh's outputs auditable. Every prediction and consolidated fact carries provenance and a calibrated confidence — this skill exposes them so a human can check the reasoning.
Provenance — what is this based on?
A prediction (from predict / memory_build_context) returns evidence memory
ids. Resolve each to its content:
{ "name": "memory_recall", "arguments": { "id": "<evidence id>" } }List the actual memories that drove the conclusion. If a fact was consolidated, its superseded ancestors show the history — that's the audit trail.
Calibration — is the confidence trustworthy?
MemMesh confidences are calibrated: 0.8 should be right ~80% of the time. To show the reliability curve (predicted vs. observed), use the hosted SDK:
const cal = await memory.lattice.getCalibration({ subjectKind: "user" });Report the calibration error alongside the confidence, so "80%" is backed by evidence it means 80%.
Abstention — the honest "I don't know yet"
If a prediction abstained, explain the reason (insufficient/contradictory evidence, subject too new). Frame abstention as a feature: MemMesh declines rather than fabricate a confident-looking number. This is what makes it usable for EU AI Act / regulated decisions where a wrong confident answer is worse than no answer.
For regulated use
Pair this with the SDK's compliance.listAuditEvents / exportSubject to
produce a full defensible record of what was known, when, and what drove a
decision.
© ThinkfleetAI, Apache-2.0. 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 integrations/memmesh-plugin/skills/why of ThinkfleetAI/memmesh.
Open the folder on GitHubat commit bba48f8
Compare with similar skills
Why 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 |
|---|---|---|---|---|---|---|
| Why this skillThinkfleetAI/memmesh | 419 | — | ~566 | Automated safety check: Pass | Apache-2.0 | |
| Fact Check X Unifiedsickn33/agentic-awesome-skills | 47k | 1 repos | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Workspace Surface Auditaffaan-m/ECC | 274k | 3 repos | ~1.3k | Automated safety check: Notes | MIT | |
| Autopilot Predictruvnet/ruflo | 74k | — | ~337 | Automated safety check: Pass | MIT | |
| Fact Check X Completesickn33/agentic-awesome-skills | 47k | 1 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Cognee Memory Recalltopoteretes/cognee | 32k | — | ~2.6k | Automated safety check: Pass | Apache-2.0 |
Similar skills
Workspace Surface Audit
affaan-m/ECC
Audit the active repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommend the highest-value ECC-native skills, hooks, agents, and operator workflows.
Autopilot Predict
ruvnet/ruflo
Use learned patterns and current state to predict the optimal next action
Fact Check X Complete
sickn33/agentic-awesome-skills
Compare claims from one or more AI answers, verify their citations against public primary sources, and produce an evidence-linked fact-check report without installing a bundled browser runtime.
Cognee Memory Recall
topoteretes/cognee
Explains how to query cognee agent memory with recall(): how the search type is chosen, how to narrow a query to datasets, and what the returned results contain.
Explain Usage
asgeirtj/system_prompts_leaks
Explain where this session's tokens went, with one simple chart in plain language.
More from ThinkfleetAI/memmesh
All 24 skills in this repoBehaviors
ThinkfleetAI/memmesh
Surface emergent behavior patterns MemMesh has mined from a subject's history — recurring habits nobody predefined, each with prevalence, stability, and the evidence behind it.
Benchmark
ThinkfleetAI/memmesh
Run MemMesh's competitive benchmark harness (LOCOMO / BEAM) to compare retrieval quality, tokens, latency, and cost against Mem0, Zep, full-context, and naive-RAG baselines.
Context Loader
ThinkfleetAI/memmesh
Load relevant MemMesh context before starting work — searches memory and, for a specific subject, assembles a token-budgeted bundle (profile + behavior patterns + forward predictions + top memories)…
Graph
ThinkfleetAI/memmesh
Query MemMesh's bi-temporal knowledge graph — multi-hop reasoning across entities, point-in-time "what did we believe on date X", and anticipatory retrieval via spreading activation.
Memmesh CLI
ThinkfleetAI/memmesh
MemMesh CLI + local MCP server — the zero-infra, no-API-key path to the same engine as the hosted SDK.
Memmesh SDK
ThinkfleetAI/memmesh
MemMesh TypeScript SDK reference (@thinkfleet/memory-sdk) for the hosted platform at app.memmesh.ai.
Questions about Why
What does Why do?
Explain a MemMesh prediction or recalled fact — surface its provenance (evidence memories), its calibrated confidence, and whether the model abstained and why. Why is an agent skill from ThinkfleetAI/memmesh. Explain a MemMesh prediction or recalled fact — surface its provenance (evidence memories), its calibrated confidence, and whether the model abstained and why.
When should I use Why?
Why fits situations like: the user asks why do you think that; whats this based on; how sure are you; needs an auditable.
How do I install Why in Claude Code?
Run `npx skills add ThinkfleetAI/memmesh --skill why -a claude-code`. Or copy the skill folder (integrations/memmesh-plugin/skills/why in ThinkfleetAI/memmesh) into .claude/skills/why in your project. Claude Code loads it when a task matches its description.
How do I install Why in Codex?
Run `npx skills add ThinkfleetAI/memmesh --skill why -a codex`. Or copy the skill folder (integrations/memmesh-plugin/skills/why in ThinkfleetAI/memmesh) into .agents/skills/why in your project. Codex loads it when a task matches its description.
Can I use Why 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 ThinkfleetAI/memmesh --skill why -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/why, .gemini/skills/why, .github/skills/why and .opencode/skills/why in your project.
What does Why need to run?
SKILL.md names no scripts, command-line tools or credentials: Why is instructions for the agent only.
Does Why 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 Why 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 Why use?
Why is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Why use?
About 566 tokens (SKILL.md is roughly 2.3k 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 Why?
Skills that share tags, products or a category with Why: Fact Check X Unified (sickn33/agentic-awesome-skills, 47k stars), Workspace Surface Audit (affaan-m/ECC, 274k stars), Autopilot Predict (ruvnet/ruflo, 74k stars) and Fact Check X Complete (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Why?
ThinkfleetAI (a GitHub organization) maintains it in ThinkfleetAI/memmesh, which has 419 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on August 25, 2026.
Source: ThinkfleetAI/memmesh on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.