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 pnp/sharepoint-skills --skill find-relevant-skillgit clone --depth 1 https://github.com/pnp/sharepoint-skillsWrote 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/pnp/sharepoint-skills/find-relevant-skill)<a href="https://agentmods.dev/skills/pnp/sharepoint-skills/find-relevant-skill"><img src="https://agentmods.dev/badge/skills/pnp/sharepoint-skills/find-relevant-skill/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/pnp/sharepoint-skills/find-relevant-skill"><img src="https://agentmods.dev/badge/skills/pnp/sharepoint-skills/find-relevant-skill.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 Excessive Agency · line 62 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00121 | $0.02250 |
| Opus 5 | $0.00060 | $0.01125 |
| Sonnet 5 | $0.00024 | $0.00450 |
| Haiku 4.5 | $0.00012 | $0.00225 |
Grade A, and why
find-relevant-skill 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 10d 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 — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
find-relevant-skill
When to use
Use this skill when the user asks whether this site has a skill for a task, or when the agent is about to handle a recurring or site-specific procedure and no loaded or listed local skill obviously covers it. Don't use it for one-off questions or small talk that don't call for a reusable procedure — the check adds a step that only pays off when a skill could plausibly exist.
This skill helps avoid missing reusable site-specific procedures before doing work directly.
Inputs
Use or infer:
- The user's current task or request
- The current site context
- Any skills already listed in the conversation context
- Site skills stored wherever this site keeps its local skill library (commonly
AgentAssets/Skills, but confirm the actual location for this site rather than assuming), when available - Optional external reference: PnP SharePoint Skills repo at
https://github.com/pnp/sharepoint-skills/tree/main/Skills
Steps
-
Restate the task in one short phrase.
-
Check known skills first.
- Review loaded skills and site skills already present in context.
- If a clearly relevant skill exists, activate it (however this environment loads a skill) and follow it.
-
If no known local skill clearly applies, inspect this site's skills.
- Look for skill folders or
SKILL.mdfiles in this site's local skill library. - Read candidate skill descriptions or
SKILL.mdfiles as needed. - Don't guess skill names or claim a skill exists without finding it.
- Look for skill folders or
-
If no local skill matches, ask before checking the PnP SharePoint Skills repo.
- Use the repo as a known external source for possible reusable skill patterns:
https://github.com/pnp/sharepoint-skills/tree/main/Skills. - Always ask the user before searching or accessing the PnP repo, even if they previously approved web search in another turn.
- Ask exactly: "Want me to search the PnP SharePoint Skills repo for a matching skill?"
- Do not search or access the public web unless the user explicitly confirms for this specific check.
- If the user confirms, search the web for the task plus the repo URL.
- Don't claim an external skill exists unless it was found through an allowed web search or already provided in conversation.
- Use the repo as a known external source for possible reusable skill patterns:
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.
- 10d ago First seen · 183 lines · 121 tokens per session scan A a86163d67b5c
find-relevant-skill is a skill published in the GitHub repository pnp/sharepoint-skills (112 stars, last pushed yesterday), licensed MIT. It adds 121 tokens to every session and 2,250 once invoked, about $0.0006 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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