Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/DorianSchlede/nexus-templatenpx agentmods add skills/dorianschlede/nexus-template/search-skill-databaseWrote 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/dorianschlede/nexus-template/search-skill-database)<a href="https://agentmods.dev/skills/dorianschlede/nexus-template/search-skill-database"><img src="https://agentmods.dev/badge/skills/dorianschlede/nexus-template/search-skill-database/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/dorianschlede/nexus-template/search-skill-database"><img src="https://agentmods.dev/badge/skills/dorianschlede/nexus-template/search-skill-database.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 | $0.00018 | $0.01356 |
| Opus 5 | $0.00009 | $0.00678 |
| Sonnet 5 | $0.00004 | $0.00271 |
| Haiku 4.5 | $0.00002 | $0.00136 |
Grade A, and why
search-skill-database 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 8d 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 — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Search Skill Marketplace
Browse and search the central Skill Marketplace (120+ skills) to find what you need.
Purpose
Discover skills from the shared marketplace. Filter by name, team, or integration to find relevant skills for import.
Use cases:
- Discover skills created by teammates
- Find skills for specific integrations (Gmail, Slack, HubSpot, etc.)
- Check if a skill already exists before creating
- Browse skills by team (General, Solutions, Engineering, Sales)
Time Estimate: 30 seconds
Quick Start
# List all skills
uv run python 00-system/skills/airtable/airtable-master/scripts/query_records.py \
--base app1gngDx52VAgjVQ --table tblsQL8n9EfMAFIyD \
--token MUTAGENT --fields "Name,Description,Team" --limit 200
# Search by name
uv run python 00-system/skills/airtable/airtable-master/scripts/query_records.py \
--base app1gngDx52VAgjVQ --table tblsQL8n9EfMAFIyD \
--token MUTAGENT --fields "Name,Description,Team" \
--filter "FIND('gmail', LOWER({Name}))"
Workflow
Step 1: Search Skills
List all available skills:
uv run python 00-system/skills/airtable/airtable-master/scripts/query_records.py \
--base app1gngDx52VAgjVQ --table tblsQL8n9EfMAFIyD \
--token MUTAGENT --fields "Name,Team" --limit 200
Search by name (contains):
--filter "FIND('slack', LOWER({Name}))"
Filter by team:
--filter "{Team}='Solutions'"
--filter "{Team}='google'"
--filter "{Team}='hubspot'"
Combined search:
--filter "AND({Team}='Solutions', FIND('beam', LOWER({Name})))"
Step 2: View Results
Output shows skill metadata:
Found 5 records
1. gmail
Team: google
Description: Send, read, and search emails...
2. slack
Team: slack
Description: Complete Slack integration...
3. hubspot-create-deal
Team: hubspot
Description: Create deals in HubSpot CRM...
Step 3: Import Selected Skill
Once you find what you need:
uv run python 00-system/skills/airtable/airtable-master/scripts/download_skill.py \
--base app1gngDx52VAgjVQ --table tblsQL8n9EfMAFIyD \
--files-table tblhx8DRvcHN7GWmJ \
--skill "<SKILL_NAME>" --token MUTAGENT --output 03-skills
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.
- 8d ago First seen · 197 lines · 18 tokens per session scan A 6129ee2d918d
search-skill-database is a skill published in the GitHub repository DorianSchlede/nexus-template (8 stars, last pushed 7mo ago), licensed MIT. It adds 18 tokens to every session and 1,356 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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