Agent skill

Peek

by ThinkfleetAI in ThinkfleetAI/memmesh

Quick memory lookup — search MemMesh and show compact one-liner results, or fetch one memory by id.

Apache-2.0Auto-check passedResearch & Science

Install Peek

skills CLI
$ npx skills add ThinkfleetAI/memmesh --skill peek -a claude-code

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

GitHub CLI
$ gh skill install ThinkfleetAI/memmesh peek --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/ThinkfleetAI/memmesh.git skills-src && mkdir -p .claude/skills && cp -r skills-src/integrations/memmesh-plugin/skills/peek .claude/skills/peek && 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
peek
GitHub stars
420
Token cost
~234 tokens
SKILL.md length
70 words
Files
1
Skills in repo
24
Repo updated
First seen
Licence
Apache-2.0

At a glance

Quick memory lookup — search MemMesh and show compact one-liner results, or fetch one memory by id.

  • Fast checks (did we record X?)
  • SKILL.md covers By query, By id and When to escalate
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Resolving a [memmesh:id] citation

What it does

Peek is an agent skill from ThinkfleetAI/memmesh. Quick memory lookup — search MemMesh and show compact one-liner results, or fetch one memory by id. Use for fast checks ("did we record X?"), resolving a [memmesh:id] citation, or browsing without full detail.

Its SKILL.md is about 230 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: 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

  • Fast checks (did we record X?)
  • Resolving a [memmesh:id] citation
  • Browsing without full detail

Example prompts

  • “did we record X?”
  • “/peek”

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).

    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

Peek loads about 234 tokens when it runs. Until then it costs about 54 tokens; SKILL.md has 70 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~54
When it runs · the whole SKILL.md, loaded when a task matches
~234

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). 70 words, ~234 tokens.

Download SKILL.mdSave it as .claude/skills/peek/SKILL.md (or your agent's skills folder).
name
peek
description
Quick memory lookup — search MemMesh and show compact one-liner results, or fetch one memory by id. Use for fast checks ("did we record X?"), resolving a [memmesh:id] citation, or browsing without full detail.

peek

Fast, low-noise lookup.

By query

jsonc
{ "name": "memory_search", "arguments": { "query": "<term>", "projectId": "<repo>", "limit": 8 } }

Render each hit as a single line: [id-prefix] content — scope/type. Don't dump full JSON.

By id

jsonc
{ "name": "memory_recall", "arguments": { "id": "<id>" } }

memory_recall also bumps recency (marks the item recently used). Use it to resolve a [memmesh:<id>] citation to its full content.

When to escalate

If the user wants everything grouped by category, use tour. If they want a synthesized picture of one subject (profile + patterns + predictions), use context-loader / memory_build_context.

© 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/peek of ThinkfleetAI/memmesh.

Open the folder on GitHubat commit bba48f8

Compare with similar skills

Peek 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.

Peek compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Peek this skillThinkfleetAI/memmesh420—~234Automated safety check: PassApache-2.0
Content Research Writerweapp-tailwindcss/weapp-tailwindcss1.9k25 repos~3.5kAutomated safety check: PassMIT
NetworkxzLanqing/codex-claude-academic-skills4.6k16 repos~3.2kAutomated safety check: PassBSD-3-Clause
Citation Verification GuideGalaxy-Dawn/claude-scholar5.7k3 repos~1.9kAutomated safety check: PassMIT
Systematic Review ScreenerImbad0202/academic-research-skills51k—~8.4kAutomated safety check: PassCustom licence
Literature Reviewneflibata-feng/MyArxiv-Agent12621 repos~5.9kAutomated safety check: NotesMIT

Similar skills

  • Content Research Writer

    weapp-tailwindcss/weapp-tailwindcss

    Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section.

    1.9k GitHub starsUsed in 25 repos~3.5k tokens
    Research & ScienceAuto-check passed
  • Networkx

    zLanqing/codex-claude-academic-skills

    Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python.

    4.6k GitHub starsUsed in 16 repos~3.2k tokens
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  • Citation Verification Guide

    Galaxy-Dawn/claude-scholar

    Reference guidance for checking every citation in academic writing against canonical sources such as DOI, arXiv, CrossRef and Semantic Scholar, to catch fake or wrong references.

    5.7k GitHub starsUsed in 3 repos~1.9k tokens
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More from ThinkfleetAI/memmesh

All 24 skills in this repo
  • Behaviors

    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.

    420 GitHub stars~519 tokensUpdated 1 mo ago
    Auto-check passed
  • 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.

    420 GitHub stars~460 tokensUpdated 1 mo ago
    Auto-check passed
  • 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)…

    420 GitHub stars~530 tokensUpdated 1 mo ago
    Auto-check passed
  • 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.

    420 GitHub stars~611 tokensUpdated 1 mo ago
    Auto-check passed
  • Memmesh CLI

    ThinkfleetAI/memmesh

    MemMesh CLI + local MCP server — the zero-infra, no-API-key path to the same engine as the hosted SDK.

    420 GitHub stars~855 tokensUpdated 1 mo ago
    Auto-check passed
  • Memmesh SDK

    ThinkfleetAI/memmesh

    MemMesh TypeScript SDK reference (@thinkfleet/memory-sdk) for the hosted platform at app.memmesh.ai.

    420 GitHub stars~1.6k tokensUpdated 1 mo ago
    Auto-check passed

Questions about Peek

What does Peek do?

Quick memory lookup — search MemMesh and show compact one-liner results, or fetch one memory by id. Peek is an agent skill from ThinkfleetAI/memmesh. Quick memory lookup — search MemMesh and show compact one-liner results, or fetch one memory by id.

When should I use Peek?

Peek fits situations like: fast checks (did we record X?); resolving a [memmesh:id] citation; browsing without full detail.

How do I install Peek in Claude Code?

Run `npx skills add ThinkfleetAI/memmesh --skill peek -a claude-code`. Or copy the skill folder (integrations/memmesh-plugin/skills/peek in ThinkfleetAI/memmesh) into .claude/skills/peek in your project. Claude Code loads it when a task matches its description.

How do I install Peek in Codex?

Run `npx skills add ThinkfleetAI/memmesh --skill peek -a codex`. Or copy the skill folder (integrations/memmesh-plugin/skills/peek in ThinkfleetAI/memmesh) into .agents/skills/peek in your project. Codex loads it when a task matches its description.

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

What does Peek need to run?

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

Does Peek 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 Peek 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 Peek use?

Peek 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 Peek use?

About 234 tokens (SKILL.md is roughly 936 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 Peek?

Skills that share tags, products or a category with Peek: Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars), Networkx (zLanqing/codex-claude-academic-skills, 4.6k stars), Citation Verification Guide (Galaxy-Dawn/claude-scholar, 5.7k stars) and Systematic Review Screener (Imbad0202/academic-research-skills, 51k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Peek?

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.