custom-image-tagger

custom-image-tagger is a skill for Claude Code, Codex from pnp/sharepoint-skills. It costs 101 tokens per session (1,027 once invoked), scanned A, original, MIT.

A guide for analyzing selected construction images and writing short descriptions into matching SharePoint library columns. SharePoint is Microsoft's system for storing and organizing files and their metadata.

In plain words
What is it for?
Use it to record primary objects, background objects, scene content, and a general description for one or more construction images in a SharePoint library.
Why use it?
It removes the need to describe each selected image manually and checks that the files are images before processing. If no image is selected, it stops and reports that clearly.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to record primary objects, background objects, scene content, and a general description for one or more construction images in a SharePoint library.

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Install with agentmods
npx agentmods add skills/pnp/sharepoint-skills/custom-image-tagger
Install

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.

Any agent
npx skills add pnp/sharepoint-skills --skill custom-image-tagger
Clone the repo
git clone --depth 1 https://github.com/pnp/sharepoint-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for custom-image-tagger

README.md
[![agentmods](https://agentmods.dev/badge/skills/pnp/sharepoint-skills/custom-image-tagger/github.svg)](https://agentmods.dev/skills/pnp/sharepoint-skills/custom-image-tagger)
Your own site
<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.

agentmods 80×15 button for custom-image-tagger

Your own site · 80×15
<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>
Per session 101 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,027 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 9d ago against content hash 4594e46d8322, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

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.

Skills/custom-image-tagger/custom-image-tagger/SKILL.md · 73 lines

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 / primaryObjects
    • Background Objects / backgroundObjects
    • Scene content / sceneContent
    • Description / _ExtendedDescription

Steps

  1. Confirm selected files are images by extension or file metadata. If no selected image is available, say so plainly and stop.
  2. 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
  3. Use get_list_schema({listId, webUrl, includeFields: true, includeContentTypes: false, includeHidden: false, includeReadOnly: false}) to resolve available target columns and exact internal names.
  4. If Primary Objects / primaryObjects or Background Objects / backgroundObjects is missing, use create_or_update_list on the current library before updating items:
    • Keep the existing library settings.
    • Add a single-line text column titled Primary Objects with internal name primaryObjects when missing.
    • Add a single-line text column titled Background Objects with internal name backgroundObjects when missing.
    • Do not recreate or modify these columns if they already exist.
    • After creating columns, use the expected internal names primaryObjects and backgroundObjects; re-read schema only if the create/update result does not confirm the fields.
  5. Use list_items({listId, webUrl, filter, viewFields: ["ID", "FileLeafRef"], itemType: "files", recursive: true}) to find the list item IDs for the selected file names. Use FileLeafRef in CAML filters, not Title.
  6. 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 line
    • backgroundObjects = background objects line
    • sceneContent = 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
  7. Keep each value under 255 characters for single-line text columns. Prefer fewer, high-confidence terms over long tag lists.
  8. If image analysis returns empty or uncertain content for an image, write Not found only when appropriate and do not invent objects.
  9. 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.

Read the full file on GitHub · 73 lines

Changes

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.

  1. 9d ago First seen · 73 lines · 101 tokens per session scan A 4594e46d8322

Subscribe to this mod's changes

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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