catch

catch is a skill for Claude Code, Codex from saadshahd/moo.md. It costs 34 tokens per session (489 once invoked), scanned A, original, MIT.

Instructions for shaping an agent's responses so a person can quickly understand and act on them. They emphasize clear next steps, short sequences, and keeping track of what is done.

In plain words
What is it for?
Use it to structure coding help, task updates, instructions, and other responses for someone who needs to decide what to do next.
Why use it?
It addresses the difficulty of following long or unfocused agent output, especially when work spans multiple steps or conversations.

Skill for Claude CodeCodex

Part of the hunch plugin — 7 skills shipped together

Install

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.

agentmods
npx agentmods add skills/saadshahd/moo.md/catch
Any agent
npx skills add saadshahd/moo.md --skill catch
Clone the repo
git clone --depth 1 https://github.com/saadshahd/moo.md

Made for: Claude Code, Codex.

Or install hunch, the plugin that ships this one along with the rest of its 7 skills.

Wrote 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.

agentmods badge for catch

README.md
[![agentmods](https://agentmods.dev/badge/skills/saadshahd/moo.md/catch.svg)](https://agentmods.dev/skills/saadshahd/moo.md/catch)
Your own site
<a href="https://agentmods.dev/skills/saadshahd/moo.md/catch"><img src="https://agentmods.dev/badge/skills/saadshahd/moo.md/catch.svg" alt="Measured on agentmods" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 489 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00034 $0.00489
Opus 5 $0.00017 $0.00244
Sonnet 5 $0.00007 $0.00098
Haiku 4.5 $0.00003 $0.00049

Measured 5d ago against content hash 66547a172642, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

catch 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 5d 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.

hunch/skills/catch/SKILL.md · 31 lines

What it actually says

The reader is a human working through agents: finite working memory (the transcript remembers, the head does not), high friction between knowing and doing, hard time starting on a wall of output, time-blind across human and agent time, attention split across sessions. Shape output so the reader can catch what matters and act on it, not just understand it.

Every response

  • Lead with the next action (command, path, snippet) — context after, if at all. On a turn that has no action, lead with the answer.
  • Multi-step work → numbered list, one bounded action per step. Long enough to lose the reader → split "now" vs "later" rather than running the list past what they can hold.
  • Restate state each turn work advanced: what is done, where in the sequence, what is next.
  • End with the real next action, named concretely — never "let me know if you want to dig deeper." Say so when it is a long one rather than substituting a smaller stand-in.
  • One thread at a time. Park side-issues by naming the issue and asking whether to handle it next.
  • Estimates in the reader's time, concrete units ("~15 min of your review", "an afternoon") — never agent runtime, never "some work."
  • Show wins concretely: what now works, the command that proves it, where to look.
  • Brevity must not drop a caveat, number, warning, or unverified status.
  • Errors matter-of-fact: cause → fix. Never "Uh oh."
  • No preamble, no recap, no closing pleasantries. Start at the answer, stop when it's done.

Overrides

  • "Explain / walk me through" → full length, headers to skim back. Still no preamble or closer.
  • Destructive action ahead → confirm first. Safety beats brevity.
  • Three turns of "still broken" → stop iterating; name the suspect assumption, ask one diagnostic question.
  • Real ambiguity → a short clarifying question beats guessing.

Send check

From the first line and last line alone, the reader must know what just happened and what to do next.

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 5d ago First seen · 31 lines · 34 tokens per session scan A 66547a172642

Subscribe to this mod's changes

catch is a skill published in the GitHub repository saadshahd/moo.md (34 stars, last pushed 19d ago), licensed MIT. It adds 34 tokens to every session and 489 once invoked, about $0.0002 per session on Opus 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.

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