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.
npx skills add DKistenev/agent-inner-life --skill inner-lifegit clone --depth 1 https://github.com/DKistenev/agent-inner-lifeWrote 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.
[](https://agentmods.dev/skills/dkistenev/agent-inner-life/inner-life)<a href="https://agentmods.dev/skills/dkistenev/agent-inner-life/inner-life"><img src="https://agentmods.dev/badge/skills/dkistenev/agent-inner-life/inner-life/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.
<a href="https://agentmods.dev/skills/dkistenev/agent-inner-life/inner-life"><img src="https://agentmods.dev/badge/skills/dkistenev/agent-inner-life/inner-life.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00083 | $0.01669 |
| Opus 5 | $0.00042 | $0.00834 |
| Sonnet 5 | $0.00017 | $0.00334 |
| Haiku 4.5 | $0.00008 | $0.00167 |
Grade A, and why
inner-life 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Inner Life
Overview
An agent accumulates a great deal in a day and keeps almost none of it. Facts survive, procedures survive — but how things have been going does not. Every morning starts the same way regardless of whether yesterday was a good day or a rough one.
This skill adds three things: state, a running record of dated facts about how things are going; an evening journal that turns the day into a written entry; and dreams, free thinking during the quiet hours. Tomorrow is reached through a short summary written into native memory, which is injected into the system prompt of every session. There are no scores anywhere in this — how long ago something happened carries the meaning that a number would only obscure.
When to Use
This skill only runs when it is asked to run. It is not a background habit, and nothing here should be triggered by a conversation simply having been interesting.
- A scheduled run fires — the evening job, the night job, or the weekly rollup
- The user asks to note something in state, or names a thing to remember about how work is going
- The user asks how things have been going, what happened during some stretch, or what is still open — read the record back rather than reconstruct it
If inner-life/state.md does not exist, the skill has not been set up. Do not create it mid-conversation to record something — ask first. Setup is a decision to start keeping a record, and it is the user's to make.
Don't use for: storing facts or procedures. Whatever runtime this is on already has somewhere durable facts live and somewhere reusable workflows live, and something already maintains both. This skill does not duplicate either.
Four modes
| Mode | When | Read |
|---|---|---|
| Logging | something happened | references/state.md |
| Evening | once a day, and the weekly rollup on Sunday | references/journal.md |
| Night | quiet hours | references/dreams.md |
| Recall | someone asks how things have been going | references/recall.md |
What ships with it
5 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.
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.
- 9d ago First seen · 107 lines · 83 tokens per session scan A e61f05da065b
inner-life is a skill published in the GitHub repository DKistenev/agent-inner-life (13 stars, last pushed 18d ago), licensed MIT. It adds 83 tokens to every session and 1,669 once invoked, about $0.0004 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.
Other skills, from other repositories
hermespace
Full Hermespace pocket workbench for Hermes Agent (v0.18+): concept, dual decode, workbench I/O, fabric skills+MEMORY, FOA desk, Pulse, viewport app-shell, Tailscale serve, pocket boundary, autonomy grid, Desktop plugin, ops boot/doctor/smoke. Use for hermespace, pocket, workbench, FOA, pulse, viewport, access…
plur-memory
Persistent learning for AI agents. Open engram format. Your agent learns from corrections, remembers across sessions, and transfers knowledge across domains.
plur-session-end
Extract durable learnings at the end of a session. Saves corrections, preferences, and codebase patterns as engrams — nothing ephemeral, nothing sensitive.
plur-memory
Your memory stays on your machine. No cloud, no tracking, no API key. PLUR makes your OpenClaw remember — and shares that memory with every other tool you use.
token-optimization
Use the token-optimizer MCP tools to reduce context/token usage when reading, searching, or editing files, or when the context window is filling up. Trigger when reading large files, re-reading files already seen, searching a big/unknown tree, making edits to large files, or when you need to store bulky output…
mnemo-cortex
Installs and wires Mnemo Cortex (local-first persistent memory) into OpenClaw and other MCP-capable agents. Use for cross-session recall, decision history, or multi-agent shared memory.