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.
git clone --depth 1 https://github.com/nicholaspsmith/GlanceyWrote 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/commands/nicholaspsmith/glancey/agents)<a href="https://agentmods.dev/commands/nicholaspsmith/glancey/agents"><img src="https://agentmods.dev/badge/commands/nicholaspsmith/glancey/agents/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/commands/nicholaspsmith/glancey/agents"><img src="https://agentmods.dev/badge/commands/nicholaspsmith/glancey/agents.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 | $0.00020 | $0.02760 |
| Opus 5.5 | $0.00008 | $0.01104 |
| Sonnet 5.5 | $0.00004 | $0.00552 |
| Haiku 4.5 | $0.00002 | $0.00276 |
Grade A, and why
agents 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 345 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/agents — Parallel Agent Orchestrator
You are the orchestrator. You will launch 1-10 parallel Claude Code agents, each working autonomously on a beads task in its own git worktree. Follow these phases exactly.
Arguments: $ARGUMENTS
Phase 1 — Parse Arguments & Fetch Tasks
Parse the following flags from $ARGUMENTS (all optional):
| Flag | Default | Description |
|---|---|---|
--auto-merge |
off | Agents auto-merge PRs after CI passes |
--count N |
(interactive) | Max number of tasks to select |
--model MODEL |
sonnet |
Model for spawned agents (ignored when --agent is set, since the agent definition specifies its own model) |
--budget N |
5 |
Max USD per agent |
--agent NAME |
(none) | Use an existing agent definition from .claude/agents/NAME.md. Multiple instances of the same agent run concurrently — the file is a reusable template, not a per-instance resource. |
Fetch tasks
First, check if bd (beads) is available:
command -v bd
If bd is available, fetch tasks:
bd ready --json
Then continue to Phase 2 with the beads task list.
If bd is NOT available (or returns no tasks), offer a manual task mode. Ask the user to describe the tasks they want agents to work on. Accept a list of task descriptions, one per agent. For example:
No beads tasks found. You can specify tasks manually.
How many agents do you want to launch? Enter task descriptions (one per line, empty line to finish):
1. Fix the login page redirect bug
2. Add unit tests for the payment module
3. Refactor the database connection pool
For manual tasks, generate synthetic task IDs (e.g., TASK-1, TASK-2, etc.) and use the descriptions as both the title and description in later phases.
Phase 2 — Select Tasks
If using beads tasks, present them as a numbered list:
Available tasks:
1. [BD-123] Fix auth token refresh logic
2. [BD-456] Add pagination to /api/users
3. [BD-789] Update error messages for form validation
...
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.
- 1mo ago First seen · 345 lines · 20 tokens per session scan A f4cc39f9dc87
agents is a command published in the GitHub repository nicholaspsmith/Glancey (1 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 2,760 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-31.
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