A shared activity log for coding agents used across computers and tools such as Claude Code, Codex, Cursor, Maestri, and browser-use. It syncs recorded events through a private GitHub repository and creates project context files.

Use it to capture notable agent activity, sync it between devices, and generate project summaries in AGENTS.md, CLAUDE.md, and an agent-context folder.

It helps a new agent understand what earlier agents did, decided, and left unfinished. This avoids losing project context when work moves between machines or coding tools.

agentlog — Skill for Claude Code by Yrzhe

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add Yrzhe/claude-skills --skill agentlog

Clone the repo

git clone --depth 1 https://github.com/Yrzhe/claude-skills

Made for: Claude Code.

Or install agentlog, the plugin that ships this one along with the rest of its 1 skill.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/yrzhe/claude-skills/agentlog/github.svg)](https://agentmods.dev/skills/yrzhe/claude-skills/agentlog)

Your own site

<a href="https://agentmods.dev/skills/yrzhe/claude-skills/agentlog"><img src="https://agentmods.dev/badge/skills/yrzhe/claude-skills/agentlog/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/yrzhe/claude-skills/agentlog"><img src="https://agentmods.dev/badge/skills/yrzhe/claude-skills/agentlog.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 184 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,419 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00184	$0.01419
Opus 5	$0.00092	$0.00709
Sonnet 5	$0.00037	$0.00284
Haiku 4.5	$0.00018	$0.00142

Measured 10d ago against content hash b9514836dae9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

agentlog scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

The scan reads SKILL.md. This mod also ships 35 executable files (hooks/capture-claude-code.sh, src/agentlog/__init__.py, src/agentlog/__main__.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/agentlog/SKILL.md · 135 lines

How it starts

The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.

agentlog · Multi-agent, multi-device activity pool + project context layer

agentlog has two layers:

Layer 1 — event pool: captures notable activity from all your AI agents (Claude Code, Codex, Cursor, Maestri, browser-use) across all your machines (Macs + VPS) into one normalized event pool, synced via a private GitHub repo.
Layer 2 — project context: distills the pool into a per-project AGENTS.md + CLAUDE.md + docs/agent-context/ snapshot, so any AI coding agent entering the project reads the same up-to-date state, decisions, and next steps.

Boundaries (when NOT to use)

Task	Use this instead
Capture a single Claude Code session for tweet drafting	`seed` skill
One-off project planning / brainstorming	`planner` / `brainstorming`
Team collaboration / sharing with others	(not supported in v0)

Architecture

┌─────────────────────────────────────────────────────────────┐
│  Device A (Mac)              Device B (VPS)                  │
│  ─────────────────           ─────────────────              │
│  Claude Code                 Claude Code                     │
│  Codex                       Codex                           │
│  Maestri canvas              (scripts)                       │
│  browser-use                                                 │
│       ↓                            ↓                          │
│  agentlog adapters           agentlog adapters               │
│       ↓                            ↓                          │
│  ~/.agent-seeds/             ~/.agent-seeds/                 │
│  (local pool clone)          (local pool clone)              │
│       ↓                            ↓                          │
│        └──── GitHub (private repo) ────┘                     │
└─────────────────────────────────────────────────────────────┘

Each agent → adapter → local pool shard → GitHub. Other devices pull. Everyone sees a unified feed.

Setup

Detailed: references/setup.md. Quick version:

Read the full file on GitHub · 135 lines

Files

What ships with it

48 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

10d ago First seen · 135 lines · 184 tokens per session scan A b9514836dae9

Subscribe to this mod's changes

agentlog is a skill published in the GitHub repository Yrzhe/claude-skills (33 stars, last pushed 3mo ago), licensed MIT. It adds 184 tokens to every session and 1,419 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Analytics and metrics

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens