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 agentmods add skills/crisandrews/clawcode/whoaminpx skills add crisandrews/ClawCode --skill whoamigit clone --depth 1 https://github.com/crisandrews/ClawCodeWhat 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 | $0.00048 | $0.00343 |
| Opus 5 | $0.00024 | $0.00171 |
| Sonnet 5 | $0.00010 | $0.00069 |
| Haiku 4.5 | $0.00005 | $0.00034 |
Grade A, and why
whoami 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.
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.
What it actually says
Whoami
Show the current sender and session context. Useful for debugging on messaging channels.
Steps
-
Detect the surface:
- CLI: no
<channel source="..."> - WhatsApp:
<channel source="whatsapp">withuser_id(JID) - Telegram:
<channel source="telegram">with user ID - etc.
- CLI: no
-
Extract sender info from the message metadata if on a messaging channel.
-
Get agent identity from IDENTITY.md (name + emoji).
-
Format the response:
CLI
You: local user
Agent: <Name> <emoji>
Workspace: <path>
Session: <id if available>
*You:* <user_id>
*Agent:* <Name> <emoji>
*Channel:* WhatsApp
Telegram
**You:** <user_id>
**Agent:** <Name> <emoji>
**Channel:** Telegram
- Keep it short — one card, no preamble.
Notes
- On CLI, there's no sender ID — use "local user".
- On messaging channels, use the
user_idfrom the<channel>metadata. - This is the agent's version of OpenClaw's
/whoamicommand.
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.
- 2d ago First seen · 54 lines · 48 tokens per session scan A 3bc39fd85bbd
whoami is a skill published in the GitHub repository crisandrews/ClawCode (62 stars, last pushed 2d ago), licensed MIT. It adds 48 tokens to every session and 343 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 2026-08-30.
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