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 Lifecycle-Innovations-Limited/claude-ops --skill peoplegit clone --depth 1 https://github.com/Lifecycle-Innovations-Limited/claude-opsWrote 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/lifecycle-innovations-limited/claude-ops/people)<a href="https://agentmods.dev/skills/lifecycle-innovations-limited/claude-ops/people"><img src="https://agentmods.dev/badge/skills/lifecycle-innovations-limited/claude-ops/people/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/lifecycle-innovations-limited/claude-ops/people"><img src="https://agentmods.dev/badge/skills/lifecycle-innovations-limited/claude-ops/people.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 56 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00026 | $0.00889 |
| Opus 5 | $0.00013 | $0.00445 |
| Sonnet 5 | $0.00005 | $0.00178 |
| Haiku 4.5 | $0.00003 | $0.00089 |
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 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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/ops:people
Load ops-rules before acting. Public repo (no personal data). Outbound: one draft → one approval → one send. If AskUserQuestion / Workflow are missing, follow Rule 10 in ops-rules (Hermes: numbered options / two-turn Telegram card; delegate_task).
Apple Contacts is source of truth. Notion "People" database is the working layer.
Subcommands
| Subcommand | What it does |
|---|---|
sync (default) |
Pull Apple Contacts via pc contacts fetch, upsert to Notion People DB |
birthdays [--window 7] |
Who has a birthday/anniversary in the next N days |
overdue |
Who's past their relationship-strength cadence and needs reach-out |
whois <name> |
Pull single person's full profile + last interaction across all channels |
bump <name> |
Manually mark "I just talked to X" — resets last_contacted |
Notion People schema (auto-created on first run)
| Property | Type | Source |
|---|---|---|
| name | title | Apple Contacts |
| emails | multi-select | Apple Contacts |
| phones | multi-select | Apple Contacts |
| birthday | date | Apple Contacts (year may be missing) |
| relationship_strength | select: close, active, dormant, professional, family | Heuristic + manual |
| last_contacted | date | Computed from Gmail/Slack/iMessage/WhatsApp |
| last_topic | rich_text | Last 1-line subject from any channel |
| next_nudge_due | date | Computed: last_contacted + cadence_for(strength) |
| brand_context | multi-select: your brand/project codes | Inferred from email domains/threads |
| notes | rich_text | Manual |
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 · 80 lines · 26 tokens per session scan A 484b532f9ea0
people is a skill published in the GitHub repository Lifecycle-Innovations-Limited/claude-ops (189 stars, last pushed today), licensed MIT. It adds 26 tokens to every session and 889 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 2026-09-03.
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recipe-front-review
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