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 jlaska/obsidian-claude-plugins --skill associate-artifact-searchgit clone --depth 1 https://github.com/jlaska/obsidian-claude-pluginsWrote 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/jlaska/obsidian-claude-plugins/associate-artifact-search)<a href="https://agentmods.dev/skills/jlaska/obsidian-claude-plugins/associate-artifact-search"><img src="https://agentmods.dev/badge/skills/jlaska/obsidian-claude-plugins/associate-artifact-search/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/jlaska/obsidian-claude-plugins/associate-artifact-search"><img src="https://agentmods.dev/badge/skills/jlaska/obsidian-claude-plugins/associate-artifact-search.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00048 | $0.02072 |
| Opus 5 | $0.00024 | $0.01036 |
| Sonnet 5 | $0.00010 | $0.00414 |
| Haiku 4.5 | $0.00005 | $0.00207 |
Grade A, and why
associate-artifact-search scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -u "$JIRA_EMAIL:$JIRA_TOKEN" \ How it starts
The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Associate Artifact Search
Gather an associate's work products across Jira, GitHub, GitLab, Google Drive, and Gmail for a given time window. Each platform is queried by a dedicated script that outputs structured JSON; the skill then produces a markdown highlight summary.
Step 0 — Look up People note defaults
If the user provided a person name, attempt to look up their People note for pre-populated defaults.
-
Resolve the Obsidian vault root:
cat ~/Library/Application\ Support/obsidian/obsidian.jsonParse JSON to find the vault with
"open": trueor highestts. -
Read
<vault_root>/PEOPLE/<person name>.md. If the file doesn't exist, skip to Step 1 (fully manual entry). -
Parse YAML frontmatter and extract:
- GitHub username: From the
sociallist, find a URL matchinghttps://github.com/<user>and extract<user> - GitLab username: From the
sociallist, find a URL matchinghttps://gitlab.com/<user>orhttps://gitlab.cee.redhat.com/<user>and extract<user>. If no GitLab URL is in thesociallist but the email is@redhat.com, derive the GitLab username from the email prefix (e.g.,[email protected]→jbalunas, defaulting tohttps://gitlab.cee.redhat.com/jbalunas) - Email: Read the
mailfield (Red Hat contacts) oremailfield (external contacts) - Jira identity: Use the same email value (search_jira.py resolves email → account ID)
- Google email: Use the same email value
- GitHub username: From the
-
Pass any discovered values as defaults to Step 1.
Step 1 — Gather inputs
Pre-populated defaults: When Step 0 found a People note with platform identities, add a recommended first option to each relevant question below. For example, if GitHub username vkareh was extracted from the People note, Q2 should have "Use vkareh (from People note) (Recommended)" as the first option. If a field has no default from Step 0, leave that question unchanged. Original options always remain available for override.
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.
- 6d ago First seen · 181 lines · 48 tokens per session scan A b4d20f197953
associate-artifact-search is a skill published in the GitHub repository jlaska/obsidian-claude-plugins (2 stars, last pushed 8d ago), licensed MIT. It adds 48 tokens to every session and 2,072 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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