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/XBlueSky/cortexesWrote 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/xbluesky/cortexes/broadcast)<a href="https://agentmods.dev/commands/xbluesky/cortexes/broadcast"><img src="https://agentmods.dev/badge/commands/xbluesky/cortexes/broadcast/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/xbluesky/cortexes/broadcast"><img src="https://agentmods.dev/badge/commands/xbluesky/cortexes/broadcast.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 | $0.00015 | $0.00230 |
| Opus 5.5 | $0.00006 | $0.00092 |
| Sonnet 5.5 | $0.00003 | $0.00046 |
| Haiku 4.5 | $0.00002 | $0.00023 |
Grade A, and why
broadcast 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.
What it actually says
Invoke the cortexes:cortex-broadcast skill and follow it for the whole run.
Command frontmatter cannot load a skill for you, so invoke it explicitly with
its fully qualified name via the Skill tool.
Argument handling:
- No argument → process the oldest eligible Raw (FIFO from the queue).
--list→ print the eligible queue and exit; do not run any broadcast.<raw-path>→ target the specified Raw. Accepts absolute or vault-relative paths. Abort with a clear error if the Raw is not eligible (already broadcast, declined, or never distilled).
Follow the cortex-broadcast skill's full flow: queue build, Raw selection, vec-search candidates, menu confirmation, per-page conversation with contradiction handling, per-page commits, marker + log finalization.
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 Changed b4b369154aae
- 1mo ago First seen · 29 lines · 15 tokens per session scan A 5167aa25d1c1
broadcast is a command published in the GitHub repository XBlueSky/cortexes (22 stars, last pushed 25d ago), licensed Apache-2.0. It adds 15 tokens to every session and 230 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 2026-08-30.
Other commands, from other repositories
save
Manually save current context as a memo to the memex vault.
status
Show memex statistics and status including projects, memos, and pending items.
save
Save the current session's context for future recall.
recall
Command "recall" from cdeust/ai-architect-mcp-codebase, covering recall session context and instructions.
memory-graph
Open the memory graph visualization in your browser.
flow-import
Cold-start import — extract baseline knowledge from an existing project (resumable).