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 pockebot/openpocket --skill human-auth-delegationgit clone --depth 1 https://github.com/pockebot/openpocketWrote 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/pockebot/openpocket/human-auth-delegation)<a href="https://agentmods.dev/skills/pockebot/openpocket/human-auth-delegation"><img src="https://agentmods.dev/badge/skills/pockebot/openpocket/human-auth-delegation/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/pockebot/openpocket/human-auth-delegation"><img src="https://agentmods.dev/badge/skills/pockebot/openpocket/human-auth-delegation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00030 | $0.00769 |
| Opus 5 | $0.00015 | $0.00385 |
| Sonnet 5 | $0.00006 | $0.00154 |
| Haiku 4.5 | $0.00003 | $0.00077 |
Grade A, and why
human-auth-delegation 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 — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Human Auth Delegation Overview
When a task requires real-world data or sensitive authorization, you call request_human_auth. The human on their phone approves and may return a delegation artifact — a file containing the data you need.
How It Works
- You call
request_human_auth(capability, instruction, ...). - The human sees an authorization page on their phone.
- They approve/reject and optionally attach data (photo, audio, coordinates, code, credentials, etc.).
- You receive a result with
artifact_pathandartifact_summary. - You decide what to do next based on the artifact and current screen state.
Artifact Result Format
After request_human_auth returns, the tool result contains:
status: approved / rejected / timeoutartifact_path: local file path to the saved artifactartifact_summary: structured key-value description (kind, size, fields, etc.)
What to Do With the Artifact
Each capability has its own skill with detailed handling instructions:
| Capability | Skill | Typical Artifact |
|---|---|---|
| camera | human-auth-camera | Photo file (JPEG/PNG) |
| photos | human-auth-photos | Photo file(s) |
| microphone | human-auth-microphone | Audio file (WebM/OGG) |
| location | human-auth-location | JSON with lat/lon |
| oauth | human-auth-oauth | JSON with credentials |
| payment | human-auth-payment | JSON with card fields |
| sms, 2fa | human-auth-sms-2fa | JSON with code text |
| qr | human-auth-qr | JSON with scanned text |
| nfc | human-auth-nfc | JSON/binary NFC data |
| biometric | human-auth-biometric | Approval signal |
| contacts, calendar, files | human-auth-contacts-data | JSON/file data |
Use read(<skill_location>) to load the relevant skill for detailed instructions.
Key Principles
- You decide. The runtime only saves the artifact. You choose how to apply it.
- Redo the flow. The app's UI may have changed while waiting for human auth. After receiving the artifact, you typically need to:
- Press Back (
keyevent KEYCODE_BACK) to exit the current screen (camera preview, file picker, etc.) - Push/prepare the data (adb push, type_text, geo fix, etc.)
- Re-navigate to the point where the data is needed (re-open picker, re-focus input field)
- Complete the action (select file, tap submit, etc.)
- Press Back (
- Read the artifact first. For JSON artifacts (credentials, codes, coordinates), call
read(<artifact_path>)to get the actual values. OTP values are not in the session log. - Clean up sensitive data. Delete credential/payment artifacts after use:
exec("rm <path>"). - File artifacts are auto-pushed. When you receive a file artifact (image, audio, etc.), the runtime automatically pushes it to
/sdcard/Download/on Agent Phone and runs media scan. The result includesdevice_path=/sdcard/Download/openpocket-human-auth-<ts>.<ext>— this is the path you use in file pickers. You do NOT need to manuallyadb push.
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 · 57 lines · 30 tokens per session scan A 95c57a143d28
human-auth-delegation is a skill published in the GitHub repository pockebot/openpocket (841 stars, last pushed 2mo ago), licensed MIT. It adds 30 tokens to every session and 769 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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