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 BerriAI/litellm-skills --skill add-keygit clone --depth 1 https://github.com/BerriAI/litellm-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/berriai/litellm-skills/add-key)<a href="https://agentmods.dev/skills/berriai/litellm-skills/add-key"><img src="https://agentmods.dev/badge/skills/berriai/litellm-skills/add-key/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/berriai/litellm-skills/add-key"><img src="https://agentmods.dev/badge/skills/berriai/litellm-skills/add-key.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00064 | $0.00653 |
| Opus 5 | $0.00032 | $0.00327 |
| Sonnet 5 | $0.00013 | $0.00131 |
| Haiku 4.5 | $0.00006 | $0.00065 |
Grade A, and why
add-key scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
compatibility: Requires curl. What it actually says
Add Key
Generate a new API key on a live LiteLLM proxy.
Setup
Ask for these if not already known:
LITELLM_BASE_URL — e.g. https://my-proxy.example.com
LITELLM_API_KEY — proxy admin key
API reference: https://litellm.vercel.app/docs/proxy/virtual_keys
Ask the user
- Key alias (optional but recommended, e.g.
my-app-prod) - Scope — assign to a
team_idoruser_id? (optional) - Allowed models (optional, e.g.
gpt-4o, claude-3-5-sonnet) - Max budget (optional, e.g.
5.00) - Expiry (optional, e.g.
7d,30d,90d) — omit for no expiry
Run
BASE="$LITELLM_BASE_URL"
KEY="$LITELLM_API_KEY"
curl -s -X POST "$BASE/key/generate" \
-H "Authorization: Bearer $KEY" \
-H "Content-Type: application/json" \
-d '{
"key_alias": "<alias>",
"team_id": "<team_id_or_omit>",
"user_id": "<user_id_or_omit>",
"models": [<models_or_empty>],
"max_budget": <budget_or_null>,
"duration": "<duration_or_omit>"
}'
Verify
Confirm the key was created:
curl -s "$BASE/key/info" \
-H "Authorization: Bearer <new_key>" | python3 -c "
import sys, json
d = json.load(sys.stdin)
info = d.get('info', {})
print(f'Alias: {info.get(\"key_alias\")}')
print(f'Expires: {info.get(\"expires\")}')
print(f'Budget: {info.get(\"max_budget\")}')
print(f'Models: {info.get(\"models\")}')
"
Output
Show the user:
key— the actual key value (only shown once, tell them to save it)key_alias,expires,max_budget,models
On error:
- 401 — check that
LITELLM_API_KEYis a valid admin key - 400 — check required fields; verify
team_id/user_idexists - Other errors — show
detailand the likely fix
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.
- 12d ago First seen · 79 lines · 64 tokens per session scan A db158d5ce447
add-key is a skill published in the GitHub repository BerriAI/litellm-skills (84 stars, last pushed 4mo ago), licensed MIT. It adds 64 tokens to every session and 653 once invoked, about $0.0003 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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