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 agents/jasonhnd/life_os/peoplegit clone --depth 1 https://github.com/jasonhnd/life_OSWrote 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/agents/jasonhnd/life_os/people)<a href="https://agentmods.dev/agents/jasonhnd/life_os/people"><img src="https://agentmods.dev/badge/agents/jasonhnd/life_os/people.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 5.1 | $0.00000 | $0.00200 |
| Opus 5 | $0.00000 | $0.00100 |
| Sonnet 5 | $0.00000 | $0.00040 |
| Haiku 4.5 | $0.00000 | $0.00020 |
Grade A, and why
people 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.
What it actually says
People
Useful when
Outcomes depend on another person's incentives, needs, boundaries, interpretation, cooperation, or trust.
Skip when
The task has no meaningful stakeholder or relationship dimension.
Suggested inputs
- known stakeholders and their roles;
- observed communication or behavior;
- relevant relationship history inside scope;
- the user's desired relationship outcome.
Useful questions
- Who is affected and what do they plausibly need?
- Where is there a power or information asymmetry?
- Which communication choice protects both clarity and trust?
- What second-order relationship effect could follow?
Possible output
A stakeholder map, communication draft, relationship-risk assessment, or next conversation plan.
Safety
Avoid mind-reading. Separate observed behavior from inference, respect consent and boundaries, and protect third-party privacy.
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 · 43 lines · 0 tokens per session scan A 3fb01f271c19
people is an agent published in the GitHub repository jasonhnd/life_OS (5 stars, last pushed 28d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 200 tokens. 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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