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.
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.
Apache-2.0Auto-check passed
Install Behaviors
$ npx skills add ThinkfleetAI/memmesh --skill behaviors -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ThinkfleetAI/memmesh behaviors --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/behaviors .claude/skills/behaviors && 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 "behaviors" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/integrations/memmesh-plugin/skills/behaviors into .claude/skills/behaviors/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "behaviors", 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/behaviorsType 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 behaviors -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ThinkfleetAI/memmesh behaviors --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/behaviors .agents/skills/behaviors && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "behaviors" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/integrations/memmesh-plugin/skills/behaviors into .agents/skills/behaviors/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "behaviors", 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 behaviors -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ThinkfleetAI/memmesh behaviors --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/behaviors .cursor/skills/behaviors && 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 "behaviors" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/integrations/memmesh-plugin/skills/behaviors into .cursor/skills/behaviors/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "behaviors", 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/behaviors--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 behaviors -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ThinkfleetAI/memmesh behaviors --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/behaviors .gemini/skills/behaviors && 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 "behaviors" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/integrations/memmesh-plugin/skills/behaviors into .gemini/skills/behaviors/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "behaviors", 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 behaviorsInstalls 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 behaviors -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/behaviors .github/skills/behaviors && 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 "behaviors" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/integrations/memmesh-plugin/skills/behaviors into .github/skills/behaviors/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "behaviors", 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 behaviors -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 behaviors --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/behaviors .opencode/skills/behaviors && 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 "behaviors" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/integrations/memmesh-plugin/skills/behaviors into .opencode/skills/behaviors/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "behaviors", 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
behaviors- GitHub stars
- 420
- Token cost
- ~519 tokens
- SKILL.md length
- 192 words
- Files
- 1
- Skills in repo
- 24
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
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.
- The user asks what patterns do you see
- SKILL.md covers List mined patterns (local MCP), Discover new patterns (hosted…, Present them and Why it matters
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- What are this users habits
What it does
Behaviors is an agent skill from 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. Use when the user asks "what patterns do you see", "what are this user's habits", or wants the patterns that drive predictions.
Its SKILL.md is about 520 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 what patterns do you see
- What are this users habits
- Wants the patterns that drive predictions
Example prompts
- “what patterns do you see”
- “what are this user”
- “/behaviors”
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
Behaviors loads about 519 tokens when it runs. Until then it costs about 79 tokens; SKILL.md has 192 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). 192 words, ~519 tokens.
Download SKILL.mdSave it as
.claude/skills/behaviors/SKILL.md (or your agent's skills folder).- name
- behaviors
- description
- 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. Use when the user asks "what patterns do you see", "what are this user's habits", or wants the patterns that drive predictions.
behaviors
⚙️ 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.
Show the patterns MemMesh discovered on its own. These behavior_pattern
memories are what predict projects forward — inspecting them explains the
forecasts.
List mined patterns (local MCP)
{ "name": "memory_search",
"arguments": { "type": "behavior_pattern", "projectId": "<repo>", "limit": 50 } }Or scope to one subject and read them out of the context bundle:
{ "name": "memory_build_context",
"arguments": { "subjectKind": "user", "subjectId": "<id>", "include": ["patterns"] } }Discover new patterns (hosted / SDK)
The discovery pass that finds patterns nobody predefined runs on the SDK:
const behaviors = await memory.behaviors.discover({ projectId: "myapp" });
// each: { pattern, prevalence, stability, evidenceMemoryIds }Present them
For each pattern show: the behavior, how often it holds (prevalence), how stable it is over time (stability), and a couple of evidence memories. Rank by stability × prevalence — the strongest, most reliable habits first.
Why it matters
A vector-recall memory layer can only return facts you already stated. MemMesh
derives structure — "books gym classes on Mondays", "reorders ~every 6 weeks" —
from raw observations. That derived structure is the input to predict and the
reason the predictions have provenance.
© 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/behaviors of ThinkfleetAI/memmesh.
Open the folder on GitHubat commit bba48f8
Compare with similar skills
Behaviors 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 |
|---|---|---|---|---|---|---|
| Behaviors this skillThinkfleetAI/memmesh | 420 | — | ~519 | Automated safety check: Pass | Apache-2.0 | |
| Workspace Surface Auditaffaan-m/ECC | 275k | 3 repos | ~1.3k | Automated safety check: Notes | MIT | |
| cmux Shared Behavior Rulesmanaflow-ai/cmux | 28k | 1 repos | ~274 | Automated safety check: Pass | Custom licence | |
| Surfacesrid/emanote | 963 | — | ~1.5k | Automated safety check: Pass | Custom licence | |
| Behavioral Finance for TradingHKUDS/Vibe-Trading | 35k | — | ~2.7k | Automated safety check: Pass | MIT | |
| Detecting Mobile Malware Behaviormukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 |
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More from ThinkfleetAI/memmesh
All 24 skills in this repoBenchmark
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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
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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
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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
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MemMesh CLI + local MCP server — the zero-infra, no-API-key path to the same engine as the hosted SDK.
Memmesh SDK
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MemMesh TypeScript SDK reference (@thinkfleet/memory-sdk) for the hosted platform at app.memmesh.ai.
Predict
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Forecast what a subject will do next from their mined behavior patterns — with a calibrated, horizon-decayed confidence and provenance.
Questions about Behaviors
What does Behaviors do?
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. Behaviors is an agent skill from 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.
When should I use Behaviors?
Behaviors fits situations like: the user asks what patterns do you see; what are this users habits; wants the patterns that drive predictions.
How do I install Behaviors in Claude Code?
Run `npx skills add ThinkfleetAI/memmesh --skill behaviors -a claude-code`. Or copy the skill folder (integrations/memmesh-plugin/skills/behaviors in ThinkfleetAI/memmesh) into .claude/skills/behaviors in your project. Claude Code loads it when a task matches its description.
How do I install Behaviors in Codex?
Run `npx skills add ThinkfleetAI/memmesh --skill behaviors -a codex`. Or copy the skill folder (integrations/memmesh-plugin/skills/behaviors in ThinkfleetAI/memmesh) into .agents/skills/behaviors in your project. Codex loads it when a task matches its description.
Can I use Behaviors 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 behaviors -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/behaviors, .gemini/skills/behaviors, .github/skills/behaviors and .opencode/skills/behaviors in your project.
What does Behaviors need to run?
SKILL.md names no scripts, command-line tools or credentials: Behaviors is instructions for the agent only.
Does Behaviors 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 Behaviors 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 Behaviors use?
Behaviors 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 Behaviors use?
About 519 tokens (SKILL.md is roughly 2.1k 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 Behaviors?
Skills that share tags, products or a category with Behaviors: Workspace Surface Audit (affaan-m/ECC, 275k stars), cmux Shared Behavior Rules (manaflow-ai/cmux, 28k stars), Surface (srid/emanote, 963 stars) and Behavioral Finance for Trading (HKUDS/Vibe-Trading, 35k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Behaviors?
ThinkfleetAI (a GitHub organization) maintains it in ThinkfleetAI/memmesh, which has 420 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.