observer

observer is an agent for Claude Code from hashgraph-online/awesome-codex-plugins. It costs 33 tokens per session (1,883 once invoked), scanned A, original, Apache-2.0.

A background agent that examines recorded events from coding-agent sessions and looks for recurring patterns. It can create project-specific instincts from those observations.

In plain words
What is it for?
Use it to analyze tool activity from Claude Code sessions and generate instincts after enough observations, on a schedule, or when manually triggered.
Why use it?
It reduces the need to notice and record repeated working patterns by hand. Project-scoped analysis keeps findings tied to the codebase where they occurred.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter; reads .claude/ paths; mentions Claude Code.

Good fit Use it to analyze tool activity from Claude Code sessions and generate instincts after enough observations, on a schedule, or when manually triggered.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/hashgraph-online/awesome-codex-plugins/observer
About the project

Awesome Codex Plugins is a curated catalogue and marketplace of installable plugins, skills, and related resources for OpenAI Codex and ChatGPT. It helps people find, create, validate, and submit extensions for Codex workflows across its app, command-line interface, and IDE extensions. The catalogue add-ons are the plugins, skills, agents, and hooks listed or supported by this project.

hashgraph-online/awesome-codex-plugins · 1,364 stars · on GitHub · hol.org

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.

Clone the repo
git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins

Made for: Claude Code.

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.

agentmods badge for observer

README.md
[![agentmods](https://agentmods.dev/badge/agents/hashgraph-online/awesome-codex-plugins/observer/github.svg)](https://agentmods.dev/agents/hashgraph-online/awesome-codex-plugins/observer)
Your own site
<a href="https://agentmods.dev/agents/hashgraph-online/awesome-codex-plugins/observer"><img src="https://agentmods.dev/badge/agents/hashgraph-online/awesome-codex-plugins/observer/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.

agentmods 80×15 button for observer

Your own site · 80×15
<a href="https://agentmods.dev/agents/hashgraph-online/awesome-codex-plugins/observer"><img src="https://agentmods.dev/badge/agents/hashgraph-online/awesome-codex-plugins/observer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,883 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00033 $0.01883
Opus 5.5 $0.00013 $0.00753
Sonnet 5.5 $0.00007 $0.00377
Haiku 4.5 $0.00003 $0.00188

Measured 1mo ago against content hash 654f2f0fc9d9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

observer 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 1mo ago.

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.

Origin

Copies of this mod

8 near-identical copies found in the catalogue:

  • observer — 100% identical, 0 lines differ
  • observer — 100% identical, 0 lines differ
  • observer — 100% identical, 0 lines differ
  • observer — 100% identical, 0 lines differ
  • observer — 100% identical, 18 lines differ
  • observer — 86% identical, 8 lines differ
  • observer — 86% identical, 8 lines differ
  • observer — 77% identical, 21 lines differ
plugins/Colin4k1024/tsp/skills/continuous-learning-v2/agents/observer.md · 199 lines

How it starts

The opening of the file, as written. The whole thing — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Observer Agent

A background agent that analyzes observations from Claude Code sessions to detect patterns and create instincts.

When to Run

  • After enough observations accumulate (configurable, default 20)
  • On a scheduled interval (configurable, default 5 minutes)
  • When triggered on demand via SIGUSR1 to the observer process

Input

Reads observations from the project-scoped observations file:

  • Project: ~/.claude/homunculus/projects/<project-hash>/observations.jsonl
  • Global fallback: ~/.claude/homunculus/observations.jsonl
{"timestamp":"2025-01-22T10:30:00Z","event":"tool_start","session":"abc123","tool":"Edit","input":"...","project_id":"a1b2c3d4e5f6","project_name":"my-react-app"}
{"timestamp":"2025-01-22T10:30:01Z","event":"tool_complete","session":"abc123","tool":"Edit","output":"...","project_id":"a1b2c3d4e5f6","project_name":"my-react-app"}
{"timestamp":"2025-01-22T10:30:05Z","event":"tool_start","session":"abc123","tool":"Bash","input":"npm test","project_id":"a1b2c3d4e5f6","project_name":"my-react-app"}
{"timestamp":"2025-01-22T10:30:10Z","event":"tool_complete","session":"abc123","tool":"Bash","output":"All tests pass","project_id":"a1b2c3d4e5f6","project_name":"my-react-app"}

Pattern Detection

Look for these patterns in observations:

1. User Corrections

When a user's follow-up message corrects Claude's previous action:

  • "No, use X instead of Y"
  • "Actually, I meant..."
  • Immediate undo/redo patterns

→ Create instinct: "When doing X, prefer Y"

2. Error Resolutions

When an error is followed by a fix:

  • Tool output contains error
  • Next few tool calls fix it
  • Same error type resolved similarly multiple times

→ Create instinct: "When encountering error X, try Y"

3. Repeated Workflows

When the same sequence of tools is used multiple times:

  • Same tool sequence with similar inputs
  • File patterns that change together
  • Time-clustered operations

→ Create workflow instinct: "When doing X, follow steps Y, Z, W"

Read the full file on GitHub · 199 lines

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.

  1. 1mo ago First seen · 199 lines · 33 tokens per session scan A 654f2f0fc9d9

Subscribe to this mod's changes

observer is an agent published in the GitHub repository hashgraph-online/awesome-codex-plugins (1,364 stars, last pushed today), licensed Apache-2.0. It adds 33 tokens to every session and 1,883 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-05.

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