cass

A session-search tool for finding useful prompts, decisions, and patterns in previous agent conversations. It uses the installed cass command through its machine-readable interfaces.

In plain words
What is it for?
Use it to find an earlier prompt, decision, or solution pattern in agent-session history. It can inspect the tool's capabilities and documentation without opening its blocking interactive interface.
Why use it?
It helps recover prompts and approaches that worked before instead of recreating them from memory. It treats an old search index as usable and avoids destructive cleanup without permission.

Skill for Claude CodeCodex

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/boshu2/agentops/cass
Any agent
npx skills add boshu2/agentops --skill cass
Clone the repo
git clone --depth 1 https://github.com/boshu2/agentops

Made for: Claude Code, Codex.

Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,987 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 $0.00035 $0.03987
Opus 5 $0.00017 $0.01994
Sonnet 5 $0.00007 $0.00797
Haiku 4.5 $0.00003 $0.00399

Measured yesterday against content hash 2764f7ea753f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

cass 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 yesterday.

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.

images/gemini/skills/cass/SKILL.md · 265 lines

How it starts

The opening of the file, as written. The whole thing — 265 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Core Insight: Your repeated prompts are your best prompts. If you typed it 10+ times, it works. Mine your history.

cass is an upstream (Dicklesworthstone) tool and is self-describing — do not re-learn its surface from this skill. Discover it live:

cass capabilities --json      # features/connectors/limits of the installed binary
cass introspect --json        # full schema of every command + response
cass robot-docs guide|commands|examples|schemas|contracts   # machine-targeted docs

This skill carries only the AgentOps operating doctrine: when to reach for cass, the discovery workflow, the recovery posture, and the anti-patterns we have actually hit.

Constraints

  • Never run bare cass because it launches a blocking TUI; use a JSON, robot, or explicit file-output command.
  • Treat a stale index as searchable and refresh it with a bounded background command because stale is not broken and an unbounded rebuild can stall the lane.
  • Preserve source sessions and require explicit permission for destructive cleanup; recovery may rebuild only derived index state.

When to Use

  • "What did I ask last time?" / "find that prompt that worked" — session archaeology
  • Prior-art check before inventing a new approach, plan, or prompt
  • Scope archaeology: "when did we decide NOT to do X?"
  • Post-context-loss recovery: what was searched for after a crash = what mattered

Folded triggers (ag-s43tg wave 1): casr + cass-memory route here

  • casr → cross-harness resume. Cross Agent Session Resumer: convert and resume sessions across Claude Code, Codex, Gemini, and other providers — cass resume plus RESUME.md own this lane (resolve subagent logs to their parent via cass context first; subagent files are not resumable).
  • cass-memorycm procedural memory. Use when starting non-trivial work, mining lessons, or preventing repeated mistakes with cm procedural memory — mine past sessions here first, then promote the durable lessons through cm instead of re-deriving them each session.

Read the full file on GitHub · 265 lines

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. yesterday First seen · 265 lines · 35 tokens per session scan A 2764f7ea753f

Subscribe to this mod's changes

cass is a skill published in the GitHub repository boshu2/agentops (431 stars, last pushed 3d ago), licensed Apache-2.0. It adds 35 tokens to every session and 3,987 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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