Borrowing it
Nothing to install: this file belongs to benoror/obsidianos_work. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/benoror/obsidianos_work/main/.agents/skills/people-stubs/SKILL.mdgit clone --depth 1 https://github.com/benoror/obsidianos_workWrote 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/benoror/obsidianos_work/people-stubs)<a href="https://agentmods.dev/skills/benoror/obsidianos_work/people-stubs"><img src="https://agentmods.dev/badge/skills/benoror/obsidianos_work/people-stubs/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/benoror/obsidianos_work/people-stubs"><img src="https://agentmods.dev/badge/skills/benoror/obsidianos_work/people-stubs.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 | $0.00043 | $0.00865 |
| Opus 5 | $0.00022 | $0.00432 |
| Sonnet 5 | $0.00009 | $0.00173 |
| Haiku 4.5 | $0.00004 | $0.00086 |
Grade A, and why
people-stubs 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 11d 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
People Stubs
Usage
/people-stubs— Scan unresolved[[@*]]links, present a creation list, prompt to confirm each./people-stubs --auto— Create stubs for every unresolved[[@*]]link without per-name confirmation. Useful after a big batch of new interviews.
Why this skill exists
When meeting notes are wrapped via /fill-participants, names get linked as [[@Jane Doe]], [[@John Smith]], etc. If the corresponding Teams/People/@Name.md file doesn't exist yet, Obsidian shows a dead-link indicator and the name doesn't appear in People.base. This skill creates the missing stubs in one pass.
Stubs are intentionally minimal — they're placeholders. The user (or a future /onboard-person skill) fills in the real metadata (Team, Location, FullName, Start Date, etc.).
Workflow
Step 1: Discover unresolved [[@*]] links
Run obsidian unresolved format=json and filter to entries where the link target starts with @. Aggregate by target — one stub per unique target, with a list of files where it's referenced.
Step 2: Present the creation list
Display a numbered table sorted by reference count descending:
| # | Stub to create | Referenced in (count) | Sample file |
|---|----------------|----------------------|-------------|
| 1 | Teams/People/@Jane Doe.md | 6 | Meetings/Interviews/Interview Alex Kim... |
| 2 | Teams/People/@John Smith.md | 3 | Meetings/Engineering/Weekly Team Leads... |
| 3 | Teams/People/@Alex Kim.md | 2 | Meetings/Engineering/Weekly Team Leads... |
Ask the user: "all", "1,2", "none", or per-line skips.
Step 3: Create stubs
For each confirmed stub, write Teams/People/@<Name>.md with this minimal frontmatter:
---
FullName:
Team:
Location:
created: <ISO 8601 with offset>
---
Use obsidian create path="Teams/People/@<Name>.md" content="<frontmatter>" so Obsidian indexes it immediately (the next /vault-health run won't show the link as unresolved any more).
Leave FullName, Team, Location empty — the stub is a placeholder. The agent can fill in FullName if it can infer from the wikilink display text (e.g. [[@Jane Doe]] → FullName: Jane Doe).
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.
- 11d ago First seen · 81 lines · 43 tokens per session scan A 852d39bc9415
people-stubs is a skill published in the GitHub repository benoror/obsidianos_work (165 stars, last pushed 3mo ago), licensed MIT. It adds 43 tokens to every session and 865 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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