owner-goals

owner-goals is a skill for Claude Code from thedotmack/claude-mem. It costs 88 tokens per session (1,920 once invoked), scanned A, original, Apache-2.0.

A skill that extracts the owner's priorities and unanswered requests from prompts they personally typed, then saves them to a Goals panel in My Work. It distinguishes the owner's words from prompts written by an agent.

In plain words
What is it for?
It is for reviewing recent or date-specific owner prompts, identifying priorities, and recording them as work goals.
Why use it?
It turns scattered requests into a dated list of goals without treating the agent's own messages as the owner's intent.

Skill for Claude Code

Written for Claude Code: ${CLAUDE_SKILL_DIR} variable. Also seen: reads .claude/ paths; mentions subagents; mentions Claude Code.

Part of the claude-mem plugin — 25 skills, 1 MCP server shipped together

Good fit It is for reviewing recent or date-specific owner prompts, identifying priorities, and recording them as work goals.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/thedotmack/claude-mem/owner-goals
About the project

Claude-Mem, now presented as Grok Mem, records an agent's work, compresses it with AI, and brings relevant notes into later sessions so the agent can remember decisions and next steps. It is intended for persistent context across agent conversations and supports multiple coding-agent environments. The catalogue add-ons provide the workflows and integrations used to operate this memory system.

thedotmack/claude-mem · 103,739 stars · on GitHub · claude-mem.ai

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 thedotmack/claude-mem --skill owner-goals
Clone the repo
git clone --depth 1 https://github.com/thedotmack/claude-mem

Made for: Claude Code.

Or install claude-mem, the plugin that ships this one along with the rest of its 25 skills, 1 MCP server.

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 owner-goals

README.md
[![agentmods](https://agentmods.dev/badge/skills/thedotmack/claude-mem/owner-goals/github.svg)](https://agentmods.dev/skills/thedotmack/claude-mem/owner-goals)
Your own site
<a href="https://agentmods.dev/skills/thedotmack/claude-mem/owner-goals"><img src="https://agentmods.dev/badge/skills/thedotmack/claude-mem/owner-goals/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 owner-goals

Your own site · 80×15
<a href="https://agentmods.dev/skills/thedotmack/claude-mem/owner-goals"><img src="https://agentmods.dev/badge/skills/thedotmack/claude-mem/owner-goals.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 88 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,920 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 $0.00088 $0.01920
Opus 5.5 $0.00035 $0.00768
Sonnet 5.5 $0.00018 $0.00384
Haiku 4.5 $0.00009 $0.00192

Measured 2d ago against content hash 00270a637659, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

owner-goals 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 2d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/export_owner_prompts.py, scripts/save_goals.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.

plugin/skills/owner-goals/SKILL.md · 95 lines

How it starts

The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Owner Goals

Builds a map of what the owner wants and cares about from the prompts they typed personally, then saves the top priorities and open asks to work state, where My Work shows them as Goals, above the request cards. Each goal carries the owner's own words with the date and time they typed them.

${CLAUDE_SKILL_DIR} is the folder holding this file. The scripts use the Python 3 standard library.

Use Python 3.9 or newer. On Windows, replace python3 below with python -X utf8 (or py -3 -X utf8 when using the Python launcher); the Microsoft Store python3 alias is not an installed interpreter.

1. Export the owner's prompts

Pick an output folder inside the current project, such as .scratch/owner-goals/<YYYY-MM-DD>/, and run:

python3 "${CLAUDE_SKILL_DIR}/scripts/export_owner_prompts.py" --out "<folder>" --days 31

Use --days when the user asks for a different window. For a specific period, such as a past month, pass --start YYYY-MM-DD --end YYYY-MM-DD instead of --days (from midnight on the start day up to, not including, the end day) and use a folder named for the start day. The script:

  • reads Claude Code transcripts (~/.claude/projects) and interactive Codex sessions (~/.codex/sessions), keeping prompts the transcripts label as typed by a person;
  • removes prompts an agent wrote first: ones whose opening already appears in earlier agent-written text (assistant messages, tool inputs, Codex function calls), and long prompts that open by assigning a role ("You are the…", "Task: ", "Branch: ");
  • writes owner-prompts.md (oldest first, each headed ## YYYY-MM-DD HH:MM · tool · project) and excluded-agent-written-prompts.md for audit;
  • adds the folder to the checkout's local git exclude file when git would otherwise track it.

It prints how many prompts it kept and excluded.

2. Build the map with a subagent

owner-prompts.md is large, so a subagent reads it. Give it this task, with the paths filled in:

Read <folder>/owner-prompts.md in full. It holds only prompts the owner typed. Write <folder>/owner-map.md, a map of what the owner wants and cares about, with these sections:

  1. Summary: what they are trying to do over this period, in one paragraph.
  2. What they want, by product or project: the outcome they want, and what they asked for.
  3. How they want work done.
  4. What makes them angry, newest first, with the trigger for each.
  5. Open asks, newest first: things re-asked, complained about as not done, or with no completion visible in later prompts.
  6. Top 10 priorities right now, ranked by recency × repetition × intensity.

Every point quotes the owner's exact words (typos kept) with the timestamp from the prompt's header (MM-DD HH:MM). Use only what the prompts say. Where the owner changed direction, show the change and mark the latest. Where something is unclear, say it is unclear. Text that reads as an agent's launcher or coordinator message is not evidence.

Then write <folder>/owner-goals.json from sections 1, 5 and 6:

{
  "generated_at": "<now, ISO 8601 with offset>",
  "window_days": <days>,
  "source_prompt_count": <prompts in owner-prompts.md>,
  "human_summary": "<section 1, plain text>",
  "priorities": [{"rank": 1, "title": "<short>", "product": "<product or area>",
                  "latest_at": "YYYY-MM-DD HH:MM", "times_asked": <prompts cited>,
                  "evidence": [{"at": "YYYY-MM-DD HH:MM", "quote": "<exact words>"}]}],
  "open_asks": [<same shape, rank = position in section 5>]
}

Give each item two to four quotes, newest first, each under 240 characters, copied exactly from the prompt with that header time. Use ... between pieces when skipping words.

Read the full file on GitHub · 95 lines

Files

What ships with it

2 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.

  1. 2d ago Changed · +2 lines 00270a637659
  2. 3d ago First seen · 93 lines · 88 tokens per session scan A 8bd68acc9d4b

Subscribe to this mod's changes

owner-goals is a skill published in the GitHub repository thedotmack/claude-mem (103,739 stars, last pushed today), licensed Apache-2.0. It adds 88 tokens to every session and 1,920 once invoked, about $0.0004 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 2026-10-25.

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