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 custom-image-taggergit 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/custom-image-tagger)<a href="https://agentmods.dev/skills/pnp/sharepoint-skills/custom-image-tagger"><img src="https://agentmods.dev/badge/skills/pnp/sharepoint-skills/custom-image-tagger/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/custom-image-tagger"><img src="https://agentmods.dev/badge/skills/pnp/sharepoint-skills/custom-image-tagger.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 | $0.00101 | $0.01027 |
| Opus 5 | $0.00051 | $0.00513 |
| Sonnet 5 | $0.00020 | $0.00205 |
| Haiku 4.5 | $0.00010 | $0.00103 |
Grade A, and why
custom-image-tagger 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 9d 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Custom Image Tagger
When to use
Use this skill when the user wants selected construction images analyzed and tagged in the current SharePoint image library. It supports one or more selected image files and writes concise metadata into library columns for primary objects, background objects, scene content, and description.
Use it for image metadata tagging in construction image libraries, not for general document tagging or non-image files.
Inputs
- One or more selected image files in the current SharePoint document library.
- Current site, library URL, library path, and list ID from SharePoint context.
- Target columns, resolved from schema when present:
Primary Objects/primaryObjectsBackground Objects/backgroundObjectsScene content/sceneContentDescription/_ExtendedDescription
Steps
- Confirm selected files are images by extension or file metadata. If no selected image is available, say so plainly and stop.
- Use
analyze_image({listFullUrl, relativePaths, question})once for all selected images. Ask for per-image output with:- primary objects as a single comma-delimited line
- background objects as a single comma-delimited line
- scene content as one concise sentence
- optional tags as a concise comma-delimited line
- Use
get_list_schema({listId, webUrl, includeFields: true, includeContentTypes: false, includeHidden: false, includeReadOnly: false})to resolve available target columns and exact internal names. - If
Primary Objects/primaryObjectsorBackground Objects/backgroundObjectsis missing, usecreate_or_update_liston the current library before updating items:- Keep the existing library settings.
- Add a single-line text column titled
Primary Objectswith internal nameprimaryObjectswhen missing. - Add a single-line text column titled
Background Objectswith internal namebackgroundObjectswhen missing. - Do not recreate or modify these columns if they already exist.
- After creating columns, use the expected internal names
primaryObjectsandbackgroundObjects; re-read schema only if the create/update result does not confirm the fields.
- Use
list_items({listId, webUrl, filter, viewFields: ["ID", "FileLeafRef"], itemType: "files", recursive: true})to find the list item IDs for the selected file names. UseFileLeafRefin CAML filters, notTitle. - Build one
update_list_items_v2({items, listUrl, webUrl})call for all matched images. Update only target columns that exist or were just created:primaryObjects= primary objects linebackgroundObjects= background objects linesceneContent= concise scene sentence, only when the column exists_ExtendedDescription=Tags: <tag line>or a concise description if tags are not requested, only when the column exists
- Keep each value under 255 characters for single-line text columns. Prefer fewer, high-confidence terms over long tag lists.
- If image analysis returns empty or uncertain content for an image, write
Not foundonly when appropriate and do not invent objects. - Return a concise per-image summary and confirm how many SharePoint items were updated. If object columns were created, mention that once. If any selected file could not be matched to a list item, name it in the response.
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.
- 9d ago First seen · 73 lines · 101 tokens per session scan A 4594e46d8322
custom-image-tagger is a skill published in the GitHub repository pnp/sharepoint-skills (110 stars, last pushed today), licensed MIT. It adds 101 tokens to every session and 1,027 once invoked, about $0.0005 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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