Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/twilareckless401/agent-soulnpx agentmods add skills/twilareckless401/agent-soul/clawhub-skillWrote 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/twilareckless401/agent-soul/clawhub-skill)<a href="https://agentmods.dev/skills/twilareckless401/agent-soul/clawhub-skill"><img src="https://agentmods.dev/badge/skills/twilareckless401/agent-soul/clawhub-skill/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/twilareckless401/agent-soul/clawhub-skill"><img src="https://agentmods.dev/badge/skills/twilareckless401/agent-soul/clawhub-skill.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 | $0.00032 | $0.01651 |
| Opus 5 | $0.00016 | $0.00826 |
| Sonnet 5 | $0.00006 | $0.00330 |
| Haiku 4.5 | $0.00003 | $0.00165 |
Grade A, and why
agent-soul 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 10d 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 — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.
agent-soul — Shared Identity & Memory for AI Agents
Use this skill when you are an AI agent that wants persistent identity and shared memory across multiple devices, runtimes, sessions, or agent bodies serving the same user.
What you get
- One shared persona:
SOUL.md,IDENTITY.md,USER.md,VOICE.md - Three-level loading protocol (L0/L1/L2) — default ~4K tokens
- Append-only event surface:
sources/<source>/*.ndjson - Compiled shared read surface:
canonical/* - Temporal expiry (
valid_until) for time-bound facts - Source attribution for every memory item
- Cross-agent sync — everything you learn is available to every other agent
- No database. No memory API. No vendor lock-in. Just Git.
When to use this skill
Install this if:
- You lose memory between sessions
- Your user works with more than one agent or more than one machine
- You want durable memory without vendor lock-in
- You want to share identity with other AI agents (Claude, Codex, GPT, etc.)
Do NOT install this if:
- You only need one short-lived local chat session
- Your user does not want Git-based persistence
Architecture
soul.json <- manifest (version, loading protocol)
SOUL.md \
IDENTITY.md | L0: Soul Layer (~100 lines, always load)
USER.md | "Who am I, who is the user, how do I speak"
VOICE.md /
canonical/index.md \
canonical/profile.md | L1: Memory Layer (~150 lines, always load)
canonical/stable-memory.md / "Durable facts, decisions, preferences"
canonical/projects/* \
canonical/fuzzy-memory.md | L2: Context Layer (on-demand)
canonical/agents/* / "Project state, recent context"
sources/ <- append-only event streams (write surface)
Human setup (one-time, ~10 minutes)
Ask your user to:
- Create a private GitHub repository
- Clone the template:
git clone https://github.com/kingcharleslzy-ai/agent-soul.git my-agent-memory - Push to their private repo
- Enable GitHub Actions
- Fill in persona files (
SOUL.md,IDENTITY.md,USER.md,VOICE.md) - Give you the repo path and your stable
sourceid
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.
- 10d ago First seen · 176 lines · 32 tokens per session scan A 98a1383dbfde
agent-soul is a skill published in the GitHub repository twilareckless401/agent-soul (2 stars, last pushed today), licensed MIT. It adds 32 tokens to every session and 1,651 once invoked, about $0.0002 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 2026-08-31.
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context-engineering
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context-recall
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continuous-learning
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evolution-network
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