delete-user

An admin action for deleting users from a live LiteLLM proxy, a service that routes requests to language models. It can remove one or several user accounts after showing their details and asking for confirmation.

In plain words
What is it for?
Use it to list users, confirm their email addresses or aliases, delete selected accounts, and check whether any requested IDs were missing.
Why use it?
It makes account removal more controlled and reports how many users were deleted. It also identifies IDs that could not be found.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/berriai/litellm-skills/delete-user
Any agent
npx skills add BerriAI/litellm-skills --skill delete-user
Clone the repo
git clone --depth 1 https://github.com/BerriAI/litellm-skills

Made for: Claude Code, Codex.

Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 292 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
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 $0.00032 $0.00292
Opus 5 $0.00016 $0.00146
Sonnet 5 $0.00006 $0.00058
Haiku 4.5 $0.00003 $0.00029

Measured yesterday against content hash ace0a68eb55d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

delete-user scanned grade A with 1 finding 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 yesterday.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

compatibility: Requires curl.
delete-user/SKILL.md · 47 lines

What it actually says

Delete User

Delete one or more users from a live LiteLLM proxy.

Setup

LITELLM_BASE_URL  — e.g. https://my-proxy.example.com
LITELLM_API_KEY   — proxy admin key

Ask the user

  1. user_id(s) — if they don't have them, list first:
    curl -s "$BASE/user/list?page_size=25" -H "Authorization: Bearer $KEY"
    
  2. Confirm — show the user email/alias and ask for confirmation before deleting.

Run

curl -s -X POST "$BASE/user/delete" \
  -H "Authorization: Bearer $KEY" \
  -H "Content-Type: application/json" \
  -d '{"user_ids": ["<user_id>"]}'

Multiple users: "user_ids": ["id1", "id2"]

Output

Show how many users were deleted. Warn if any IDs were not found.

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. yesterday First seen · 47 lines · 32 tokens per session scan A ace0a68eb55d

Subscribe to this mod's changes

delete-user is a skill published in the GitHub repository BerriAI/litellm-skills (82 stars, last pushed 3mo ago), licensed MIT. It adds 32 tokens to every session and 292 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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