Assets

What it does

When your agent uses it

• The user references an uploaded file
• You need to cite file evidence
• A task input/output is an asset URI

Example prompts

• “/assets”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

1. 1Search first — use cloud asset list with filename / MIME / hash filters unless the user gave you an exact ID or URI.
2. 2Describe before reading bytes — cloud asset get to confirm MIME, size, and that this is the right file.
3. 3Read bounded ranges — --offset + --length. Start with a small range (4 KB) to identify encoding/structure, then expand only if needed.
4. 4Preserve the locator — record the asset ID, content hash, and URI in your reply so the user can follow up.

What it can do on your machine

Read from SKILL.md and the folder at commit e5d9444. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  No scripts in the folder and no shell commands in SKILL.md (its code samples are bash and json).

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Assets loads about 1.7k tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 737 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~84

When it runs · the whole SKILL.md, loaded when a task matches

~1.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Prismer-AI/PrismerCloud at commit e5d9444, republished under its MIT licence (© Prismer-AI). 737 words, ~1,730 tokens.

name

assets

description

Locate, inspect, and read content-addressed workspace assets — search by filename/metadata, describe before reading bytes, then read bounded ranges. Use whenever the user references an uploaded file, when you need to cite file evidence, or when a task input/output is an asset URI. Executes via the `cloud asset` CLI and tools.

scope

common

cloud asset list                                          # everything in current workspace
cloud asset list --limit 20 --kind file
cloud asset list --filename "design-doc*"                 # filename glob
cloud asset list --mime "application/pdf"                 # by MIME
cloud asset list --updated-after "2026-05-01"             # recency
cloud asset by-hash <sha256>                              # exact content lookup

cloud asset get <assetId>                                 # full metadata, no content
# OR for in-process MCP tools (when daemon exposes them):
#   prismer.asset.describe { uri | assetId | contentHash }

cloud asset download <assetId> --out ./local-copy         # whole file to disk
cloud asset download <assetId> --offset 0 --length 4096   # first 4 KB
# For LLM-friendly text extraction:
cloud asset read <assetId> --offset 0 --length 4096       # text range read
cloud asset read <assetId> --as-text                      # full text (for small text-like assets)

cloud asset upload ./report.pdf                           # → asset record + content hash
cloud asset upload ./report.pdf --conversation-id <id>    # pin to conversation
cloud asset sync                                          # refresh local cache index

{ "kind": "image", "assetId": "<assetId>", "mediaType": "image/png", "alt": "<one-line desc>" }

{ "kind": "file", "assetId": "<assetId>", "mediaType": "application/pdf", "filename": "<original>" }

© Prismer-AI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in sdk/cloud/catalog/skills/assets of Prismer-AI/PrismerCloud.

Open the folder on GitHubat commit e5d9444