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 TommyBez/skillsboard --skill team-skill-librarygit clone --depth 1 https://github.com/TommyBez/skillsboardWrote 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/tommybez/skillsboard/team-skill-library)<a href="https://agentmods.dev/skills/tommybez/skillsboard/team-skill-library"><img src="https://agentmods.dev/badge/skills/tommybez/skillsboard/team-skill-library/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/tommybez/skillsboard/team-skill-library"><img src="https://agentmods.dev/badge/skills/tommybez/skillsboard/team-skill-library.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 | $0.00141 | $0.01114 |
| Opus 5 | $0.00071 | $0.00557 |
| Sonnet 5 | $0.00028 | $0.00223 |
| Haiku 4.5 | $0.00014 | $0.00111 |
Grade A, and why
team-skill-library 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 7d 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 — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skills Board team library
Skills Board is a web app where a team keeps and shares its AI skills in one searchable library. This skill covers how to use that library from an agent: find a saved skill, hand off an install command, and save a new skill back to the team.
Before the first call
The plugin ships one MCP server, skills-board, pointing at
https://www.skillsboard.sh/api/mcp. It is OAuth protected: the client runs
the authorization flow, not this skill. If the tools are missing, tell the user
to connect the server in their client and to sign in at
https://www.skillsboard.sh first.
Two scopes matter:
skills:readis required for every tool. Without it the endpoint answers 403.skills:writeis required to save skills or change collections. Without it the write tools return an error asking the user to reconnect with write access.
Clients usually namespace tool names, for example mcp__skills-board__list_skills.
Match on the trailing tool name.
Find what the team already saved
search_skillstakes aqueryand matches saved skills by name, description, note, example prompt, repository, or tag. Start here.list_skillsreturns every skill saved across the user's team libraries. Use it when the library is small or when a search returns nothing.search_collectionsandlist_collectionsdo the same for collections, which group saved skills by use case or project.get_collection_skillstakes acollectionIdand returns the skills in that collection, each with an install command.
Report what the team saved, including the note and example prompts a teammate wrote, before suggesting anything from outside the library.
Hand off an install
Skills Board records what a team saved. It does not install skills into an agent, so the last step is always a command the user runs, or a file the user downloads.
- One saved skill:
get_skill_commandwith itsskillIdreturnsnpx skills add <github url> --skill <skill name>. - A published collection:
get_collection_install_commandwith itscollectionIdreturns the share URL andnpx skills add https://www.skillsboard.sh/p/<share id> --skill "*", plus the active revision. It errors when the collection has no active install link. Rerunning the command adds skills introduced by a later revision. The update path refreshes installed skills but does not remove skills deleted from the collection. - The original GitHub source is in every skill record. Reading the source before installing is the honest default: a saved skill is the team's own choice, not a review or a pinned release.
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.
- 7d ago First seen · 94 lines · 141 tokens per session scan A dc380e3cea09
team-skill-library is a skill published in the GitHub repository TommyBez/skillsboard (6 stars, last pushed today), licensed MIT. It adds 141 tokens to every session and 1,114 once invoked, about $0.0007 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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