source-command-hooks-pre-task

source-command-hooks-pre-task is a skill for Claude Code, Codex from ayushcodes10/echo-mem. It costs 15 tokens per session (583 once invoked), scanned A, original, Apache-2.0.

A pre-task hook that prepares context before work begins by loading memory, estimating complexity, and arranging coding agents.

In plain words
What is it for?
Use it before a task to load related memory, estimate its complexity, spawn agents, or choose how agents should coordinate.
Why use it?
It reduces the setup work needed to start a task and can bring relevant information from earlier sessions into the current one.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents); mentions Codex.

Good fit Use it before a task to load related memory, estimate its complexity, spawn agents, or choose how agents should coordinate.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ayushcodes10/echo-mem/source-command-hooks-pre-task
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 ayushcodes10/echo-mem --skill source-command-hooks-pre-task
Clone the repo
git clone --depth 1 https://github.com/ayushcodes10/echo-mem

Made for: Claude Code, Codex.

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 source-command-hooks-pre-task

README.md
[![agentmods](https://agentmods.dev/badge/skills/ayushcodes10/echo-mem/source-command-hooks-pre-task/github.svg)](https://agentmods.dev/skills/ayushcodes10/echo-mem/source-command-hooks-pre-task)
Your own site
<a href="https://agentmods.dev/skills/ayushcodes10/echo-mem/source-command-hooks-pre-task"><img src="https://agentmods.dev/badge/skills/ayushcodes10/echo-mem/source-command-hooks-pre-task/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 source-command-hooks-pre-task

Your own site · 80×15
<a href="https://agentmods.dev/skills/ayushcodes10/echo-mem/source-command-hooks-pre-task"><img src="https://agentmods.dev/badge/skills/ayushcodes10/echo-mem/source-command-hooks-pre-task.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 583 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 $0.00015 $0.00583
Opus 5.5 $0.00006 $0.00233
Sonnet 5.5 $0.00003 $0.00117
Haiku 4.5 $0.00002 $0.00058

Measured 1mo ago against content hash 6c43e9d5b4f8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

source-command-hooks-pre-task 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.

.agents/skills/source-command-hooks-pre-task/SKILL.md · 123 lines

How it starts

The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.

source-command-hooks-pre-task

Use this skill when the user asks to run the migrated source command hooks-pre-task.

Command Template

hook pre-task

Execute pre-task preparations and context loading.

Usage

npx Codex-flow hook pre-task [options]

Options

  • --description, -d <text> - Task description for context
  • --auto-spawn-agents - Automatically spawn required agents (default: true)
  • --load-memory - Load relevant memory from previous sessions
  • --optimize-topology - Select optimal swarm topology
  • --estimate-complexity - Analyze task complexity

Examples

Basic pre-task hook

npx Codex-flow hook pre-task --description "Implement user authentication"

With memory loading

npx Codex-flow hook pre-task -d "Continue API development" --load-memory

Manual agent control

npx Codex-flow hook pre-task -d "Debug issue #123" --auto-spawn-agents false

Full optimization

npx Codex-flow hook pre-task -d "Refactor codebase" --optimize-topology --estimate-complexity

Features

Auto Agent Assignment

  • Analyzes task requirements
  • Determines needed agent types
  • Spawns agents automatically
  • Configures agent parameters

Memory Loading

  • Retrieves relevant past decisions
  • Loads previous task contexts
  • Restores agent configurations
  • Maintains continuity

Topology Optimization

  • Analyzes task structure
  • Selects best swarm topology
  • Configures communication patterns
  • Optimizes for performance

Complexity Estimation

  • Evaluates task difficulty
  • Estimates time requirements
  • Suggests agent count
  • Identifies dependencies

Integration

This hook is automatically called by Codex when:

  • Starting a new task
  • Resuming work after a break
  • Switching between projects
  • Beginning complex operations

Manual usage in agents:

# In agent coordination
npx Codex-flow hook pre-task --description "Your task here"

Output

Returns JSON with:

{
  "continue": true,
  "topology": "hierarchical",
  "agentsSpawned": 5,
  "complexity": "medium",
  "estimatedMinutes": 30,
  "memoryLoaded": true
}

Read the full file on GitHub · 123 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 · 123 lines · 15 tokens per session scan A 6c43e9d5b4f8

Subscribe to this mod's changes

source-command-hooks-pre-task is a skill published in the GitHub repository ayushcodes10/echo-mem (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 15 tokens to every session and 583 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 2026-09-12.

Related

Other skills, from other repositories

squish

ALWAYS use this skill when working with agents, memory, context, persistence, or AI agent state. Use when the user mentions: 'the agent forgot', 'save this', 'remember that', 'context is lost', 'memory', 'MCP server', 'agent memory', 'persistent memory', 'session context', 'project context', 'recall', 'remember'…

michielhdoteth/squish-memory · 157 tokens

squish-memory

Persistent memory system for Claude Code. Use when you need to store, recall, or search project memories, facts, decisions, and learnings across sessions. Triggers on: remember, recall, memory, forget, search memories, store context, project knowledge, what did we decide, previous conversation.

michielhdoteth/squish-memory · 0 tokens

postgram

Use the pgm CLI (Postgram) to persist, search, and link knowledge across sessions. Invoke whenever the user wants to remember something across conversations, recall prior context, search their personal knowledge base, track tasks, or explore relationships between stored entities. Assumes pgm is on PATH, PGMAPIURL is…

ivo-toby/postgram · 112 tokens

memanto-companion

Inspect and manage the cross-session engineering memory that Memanto maintains for your Claude Code skills. Use when the user asks what Memanto remembers, wants to see their engineering profile, manually recall context for a skill, or store a decision. The automatic lifecycle hooks handle capture/injection on their…

moorcheh-ai/memanto · 72 tokens

openlore

Query and publish to an OpenLore knowledge repository over SSH using ordinary shell commands. Use when a task needs project documentation, runbooks, shared team knowledge, or a place to publish findings.

aakarim/OpenLore · 42 tokens

system-monitor

Monitor system health: CPU, memory, disk, processes, and network. Alert on thresholds via any channel.

fuyuxiang/echo-agent · 25 tokens