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/aiosai/aipass/fullnpx skills add AIOSAI/AIPass --skill fullgit clone --depth 1 https://github.com/AIOSAI/AIPassWrote 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/aiosai/aipass/full)<a href="https://agentmods.dev/skills/aiosai/aipass/full"><img src="https://agentmods.dev/badge/skills/aiosai/aipass/full.svg" alt="Measured on agentmods" 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 | $0.00011 | $0.00152 |
| Opus 5 | $0.00005 | $0.00076 |
| Sonnet 5 | $0.00002 | $0.00030 |
| Haiku 4.5 | $0.00001 | $0.00015 |
Grade A, and why
[object Object] 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 5d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- [object Object] — 100% identical, 0 lines differ
- [object Object] — 91% identical, 2 lines differ
What it actually says
{{SKILL_NAME}}
What This Does
TODO
When to Use
Use this skill when:
- TODO — concrete scenario or trigger phrase
Do NOT use this skill when:
- TODO — scenario where a different approach is better
Steps
- TODO
- Done when: TODO — checkable success criterion for this step
Example
TODO
What ships with it
4 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.
- 5d ago First seen · 35 lines · 11 tokens per session scan A 65960df50496
[object Object] is a skill published in the GitHub repository AIOSAI/AIPass (273 stars, last pushed today), licensed MIT. It adds 11 tokens to every session and 152 once invoked, about $0.0001 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
efficient-execution
Reduce token waste and task completion time by choosing the simplest tool for each job.
task-planning
Match planning effort to task complexity. Check existing skills before inventing a new approach.
learning-capture
Log corrections, errors, and discoveries to orbital/LESSONS.md so future sessions avoid repeating mistakes.
process-capture
Capture successful multi-step workflows as reusable skills so future sessions can replay them.
operating-coordharness
Operates a local CoordHarness board for multi-agent work, bounded context retrieval, typed handoffs, and tracked CPU or GPU jobs. Use when an agent needs to orient, claim, renew, complete, pause, hand off, retrieve context, or attach a long-running process without creating a second source of truth.
aura
Give this agent a real email address, a webhook URL, durable memory across runs, and the ability to wait for an event without burning tokens. Use when a task needs a verification code sent by email, needs to wait for a webhook or an approval, needs to remember something after the session ends, or needs to survive a…