Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/athola/claude-night-marketnpx agentmods add skills/athola/claude-night-market/glimmer-delegationWrote 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/athola/claude-night-market/glimmer-delegation)<a href="https://agentmods.dev/skills/athola/claude-night-market/glimmer-delegation"><img src="https://agentmods.dev/badge/skills/athola/claude-night-market/glimmer-delegation/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/athola/claude-night-market/glimmer-delegation"><img src="https://agentmods.dev/badge/skills/athola/claude-night-market/glimmer-delegation.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 | $0.00036 | $0.01082 |
| Opus 5 | $0.00018 | $0.00541 |
| Sonnet 5 | $0.00007 | $0.00216 |
| Haiku 4.5 | $0.00004 | $0.00108 |
Grade C, and why
glimmer-delegation scanned grade C with 2 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -fsSL https://ollama.com/install.sh | sh Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsSL https://ollama.com/install.sh | sh How it starts
The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Table of Contents
- Overview
- When To Use
- When NOT To Use
- Prerequisites
- Quick Start
- Smart Delegation
- Glimmer-Specific Details
- Exit Criteria
Glimmer Delegation
Overview
Glimmer is Meta's Muse Glimmer served locally through ollama, so a delegation to it spends no quota and sends no prompt off the machine. It is the last entry in the candidate order for the same reason it is the safe one: a local 30B model is slower and weaker than any of the network providers ahead of it.
When To Use
delegation-coreselectedglimmerfor the task- Every network provider is exhausted and the work still has to happen
- The prompt must not leave the machine, whatever the cost in quality
When NOT To Use
- The task needs the strongest available model. Glimmer is the floor, not a peer of the network providers
ollama listshows nomuse-glimmer:30b. A registered provider whose model was never pulled fails at the first delegation, not at registration
Prerequisites
Installation
curl -fsSL https://ollama.com/install.sh | sh
ollama pull muse-glimmer:30b
Both steps are required. Installing ollama registers the binary and
pulls nothing, so ollama --version answering is not evidence that a
delegation will succeed.
Authentication
None. auth_method is "none" and the auth probe is empty, because a
local server has no credential to check.
Quick Start
Using the shared delegation executor
uv run python scripts/delegation_executor.py glimmer "Summarize" \
--files src/
Through the Makefile
make -C plugins/conjure delegate-glimmer PROMPT='Summarize' FILES='src/'
Direct CLI usage
ollama run muse-glimmer:30b "Explain this module"
Smart Delegation
glimmer carries priority=80, the highest number in the registry,
which places it last in the candidate order. It declares no model ids,
because the model is fixed by the subcommand rather than chosen per
call.
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 · 144 lines · 36 tokens per session scan C bd469eacadae
glimmer-delegation is a skill published in the GitHub repository athola/claude-night-market (337 stars, last pushed yesterday), licensed MIT. It adds 36 tokens to every session and 1,082 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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