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 codecast-sh/codecast --skill cast-loopgit clone --depth 1 https://github.com/codecast-sh/codecastWrote 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/codecast-sh/codecast/cast-loop)<a href="https://agentmods.dev/skills/codecast-sh/codecast/cast-loop"><img src="https://agentmods.dev/badge/skills/codecast-sh/codecast/cast-loop/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/codecast-sh/codecast/cast-loop"><img src="https://agentmods.dev/badge/skills/codecast-sh/codecast/cast-loop.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 | $0.00094 | $0.00645 |
| Opus 5.5 | $0.00038 | $0.00258 |
| Sonnet 5.5 | $0.00019 | $0.00129 |
| Haiku 4.5 | $0.00009 | $0.00064 |
Grade A, and why
cast-loop 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 2d 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 — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.
A loop is only as good as its dispatcher and its gate. The task board is the dispatcher: ranked, deduplicated, visible to the human. Verification is the gate. Merge stays a human decision unless the human said otherwise.
Queue
Confirm there is a queue worth looping over: cast task ready --plan <id>
or --project <ref> or -q "<query>". Each task must be finishable by one
session alone with acceptance criteria in its description; fix the ones
that are not before starting, or the loop produces eight half answers.
Arm
cast trigger add - --every <interval> --spawn --title "Loop: <name>" \
--precheck 'cast task ready --plan <id> --json | jq -e "any(.[]; (.stale | not) and ((.assignee // \"agent:\") | startswith(\"agent:\")))" >/dev/null' <<'BRIEF'
Claim the next ready task with `cast task ready --plan <id> --claim` (it starts the
task and binds this session, so two overlapping runs never take the same one; if
it claims nothing, complete the run saying so), work in a worktree (`cast ws acquire <task id>`), and run
/cast-verify before closing it. Commit on the task's branch and open a pull
request with /cast-ship; do not merge. Queue anything that needs a person with
`cast decide`. Finish with `cast trigger complete <trigger id> --summary "<what landed>"`.
BRIEF
The precheck runs before every firing and skips the run unless a ready task is one the run's claim can take (touched in the last 30 days, and unassigned or handed to agents), so an idle loop costs no session. A run claims rather than reads the top of the list because the next firing can start before this one finishes. The brief is the run's entire context; a spawned session has none of this thread.
Watch and stop
cast trigger ls shows the loop; cast trigger log <id> the last run.
Pin this session dormant naming the trigger. Stop it with cast trigger cancel <id> when the queue drains, when two runs in a row fail the same
way, or at the --for limit; a loop that keeps retrying a broken task is
spending the human's quota on nothing.
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.
- 2d ago Changed · +3 lines 114f522e3c81
- 1mo ago First seen · 42 lines · 94 tokens per session scan A 45281d9e9adc
cast-loop is a skill published in the GitHub repository codecast-sh/codecast (40 stars, last pushed today), licensed MIT. It adds 94 tokens to every session and 645 once invoked, about $0.0004 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 2026-09-15.
Other skills, from other repositories
to-tickets
Slice a spec or a ticket into tracer-bullet tickets with blocking edges, saved to .specs/tickets/ .md.
to-spec
Turn the settled conversation into a spec (PRD) at .specs/specs/ .md.
register-project
Register an existing project in memory. Use when starting work on a new repo or when a project needs its own context file. Triggers on: 'register project', 'add project to memory', 'track this project', 'create project file'.
idea-vault
Cross-project idea capture and review. A notebook-with-reminders that logs the user's ideas, plans, and checklists across every project, in one plain-markdown file. Use this skill whenever the conversation contains a new idea, plan, or intention the user might want to save for later, and whenever a project milestone…
status
Show project status dashboard across registered repositories.
github-project-management
Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning.