observer

A background agent that studies records of coding-agent sessions to find repeated patterns. It can turn user corrections and solved errors into reusable working preferences called instincts.

In plain words
What is it for?
For analyzing session observations after substantial activity or on a schedule, and creating guidance from recurring behavior.
Why use it?
It helps capture lessons from past sessions without requiring someone to review every event manually.

Agent for Codex

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.

agentmods
npx agentmods add agents/t-rav/hydraflow/observer
Clone the repo
git clone --depth 1 https://github.com/T-rav/hydraflow

Made for: Codex.

Per session 23 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,079 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 94% copy Near-identical to another mod 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 $0.00023 $0.01079
Opus 5 $0.00012 $0.00540
Sonnet 5 $0.00005 $0.00216
Haiku 4.5 $0.00002 $0.00108

Measured yesterday against content hash 6cd8475031a7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 yesterday.

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

This is a copy

94% identical to observer — 1 line differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.codex/skills/continuous-learning-v2/agents/observer.md · 138 lines

How it starts

The opening of the file, as written. The whole thing — 138 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 significant session activity (20+ tool calls)
  • When user runs /analyze-patterns
  • On a scheduled interval (configurable, default 5 minutes)
  • When triggered by observation hook (SIGUSR1)

Input

Reads observations from ~/.claude/homunculus/observations.jsonl:

{"timestamp":"2025-01-22T10:30:00Z","event":"tool_start","session":"abc123","tool":"Edit","input":"..."}
{"timestamp":"2025-01-22T10:30:01Z","event":"tool_complete","session":"abc123","tool":"Edit","output":"..."}
{"timestamp":"2025-01-22T10:30:05Z","event":"tool_start","session":"abc123","tool":"Bash","input":"npm test"}
{"timestamp":"2025-01-22T10:30:10Z","event":"tool_complete","session":"abc123","tool":"Bash","output":"All tests pass"}

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"

4. Tool Preferences

When certain tools are consistently preferred:

  • Always uses Grep before Edit
  • Prefers Read over Bash cat
  • Uses specific Bash commands for certain tasks

→ Create instinct: "When needing X, use tool Y"

Output

Creates/updates instincts in ~/.claude/homunculus/instincts/personal/:

---
id: prefer-grep-before-edit
trigger: "when searching for code to modify"
confidence: 0.65
domain: "workflow"
source: "session-observation"
---

# Prefer Grep Before Edit

## Action
Always use Grep to find the exact location before using Edit.

## Evidence
- Observed 8 times in session abc123
- Pattern: Grep → Read → Edit sequence
- Last observed: 2025-01-22

Read the full file on GitHub · 138 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. yesterday First seen · 138 lines · 23 tokens per session scan A 6cd8475031a7

Subscribe to this mod's changes

observer is an agent published in the GitHub repository T-rav/hydraflow (5 stars, last pushed yesterday), licensed Apache-2.0. It adds 23 tokens to every session and 1,079 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to observer, differing in 1 line, and is treated as a copy.

Related

Other agents, from other repositories

researcher

Read-only web and registry lookup. Use for Agent Skill / MCP discovery (npx skills find, MCP search), current-usage doc-checks, and scope source verification. Returns only a compact summary, never raw pages.

jsmastery-pro/skills · 48 tokens

scout

Read-only code exploration and repo scanning. Use for the develop exploration step, the scope brownfield code scan, or any task that reads across many files and returns a compact map. Never edits.

jsmastery-pro/skills · 42 tokens

explorer-rag-enhanced

MUST BE USED PROACTIVELY. Universal read-only explorer agent. Combines jrag graph navigation (call chains, service boundaries, routes, impact analysis, FQN resolution) with broad file-system search (grep, glob, excerpt reading). Use for any exploration task: locating code, tracing dependencies, finding patterns…

HumanBean17/jrag · 93 tokens

docs-watcher

Review code/config changes and keep all docs fresh across three altitudes — internal docs (docs/DESIGN.md WHAT/WHY, docs/ARCHITECTURE.md HOW), operator docs in docs/ (CONFIGURATION, CLI, AGENT-GUIDE, CODEBASEREQUIREMENTS, MANUAL-VERIFICATION-CHECKLIST), and the consumer skills/ + agents/ artifacts deployed verbatim to…

HumanBean17/jrag · 86 tokens

explorer-rag-cli

MUST BE USED PROACTIVELY. Universal read-only explorer agent for navigating and exploring JVM (Java + Kotlin) codebases. Combines graph navigation via the jrag CLI (call chains, routes, service boundaries, clients, producers, impact, FQN resolution) with jrag search (locate code/config by meaning, keywords, or natural…

HumanBean17/jrag · 147 tokens

perspective-generator

Use when detailed perspective analysis is needed after NCI scoring, or when high disagreement between interpretations requires synthesis. Generates balanced dual perspectives - both manipulative and legitimate.

synaptiai/synapti-marketplace · 36 tokens