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 Snowflake-Labs/cocoplus --skill klatchgit clone --depth 1 https://github.com/Snowflake-Labs/cocoplusWrote 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/snowflake-labs/cocoplus/klatch)<a href="https://agentmods.dev/skills/snowflake-labs/cocoplus/klatch"><img src="https://agentmods.dev/badge/skills/snowflake-labs/cocoplus/klatch/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/snowflake-labs/cocoplus/klatch"><img src="https://agentmods.dev/badge/skills/snowflake-labs/cocoplus/klatch.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 | $0.00054 | $0.01625 |
| Opus 5 | $0.00027 | $0.00813 |
| Sonnet 5 | $0.00011 | $0.00325 |
| Haiku 4.5 | $0.00005 | $0.00162 |
Grade A, and why
klatch 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 8d 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 — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
$klatch
Run a genuine multi-perspective roundtable by spawning independent subagents — each receiving only the topic brief, with no knowledge of the other participants' identities, roles, or outputs. Independence is structural, not simulated.
Preconditions
.cocoplus/must be initialized (run$pod initfirst)
Arguments
<topic>(required): Free-text description of the decision, question, or problem to analyze--participants=N(optional): Number of participants. Range: 2–5. Default: 3.
Step-by-Step Behavior
$klatch <topic> [--participants=N]
-
Verify initialization: Check
.cocoplus/exists. If not, output: "CocoPlus not initialized. Run$pod initfirst." and exit. -
Validate participant count: Parse
--participants=N. If N < 2 or N > 5, output: "Participant count must be between 2 and 5. Default is 3." and exit. If flag absent, use N=3. -
Produce structured topic brief from the free-text
<topic>:- Decision or question being analyzed
- Options under consideration (if mentioned or inferable)
- Evaluation criteria (what would make one option better than another)
- Known constraints stated in the topic
Write topic brief to
lifecycle/klatch/<timestamp>-<topic-slug>-brief.mdwhere:<timestamp>= ISO8601 compact (e.g.,20260517T143022)<topic-slug>= lowercase, hyphenated, max 40 chars (e.g.,which-embedding-model-to-use)
-
Assign participant roles based on N:
N Roles Assigned 2 Skeptic, Optimist 3 Skeptic, Optimist, Pragmatist 4 Skeptic, Optimist, Pragmatist, Domain Expert 5 Skeptic, Optimist, Pragmatist, Domain Expert, Contrarian Role mandates (injected into each participant's frontmatter):
- Skeptic: "Interrogate assumptions. Find what could go wrong. Do not be balanced — be adversarial to the proposal."
- Optimist: "Identify what could go right. Surface opportunities being underweighted. Do not hedge — advocate for the best case."
- Pragmatist: "Focus on what is actually achievable given the stated constraints. Ignore ideal outcomes — anchor on what can be delivered."
- Domain Expert: "Apply deep Snowflake and Cortex technical knowledge. Correct any technical misconceptions in the brief. Surface implementation-level consequences."
- Contrarian: "Take the position least supported by the initial framing. Find the hidden strengths of the least-favored option."
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.
- 8d ago First seen · 136 lines · 54 tokens per session scan A cbfdd8cabec1
klatch is a skill published in the GitHub repository Snowflake-Labs/cocoplus (720 stars, last pushed 9d ago), licensed MIT. It adds 54 tokens to every session and 1,625 once invoked, about $0.0003 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 2026-09-03.
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