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 discussgit 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/discuss)<a href="https://agentmods.dev/skills/snowflake-labs/cocoplus/discuss"><img src="https://agentmods.dev/badge/skills/snowflake-labs/cocoplus/discuss.svg" alt="Measured on agentmods" 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 | $0.02241 |
| Opus 5 | $0.00027 | $0.01120 |
| Sonnet 5 | $0.00011 | $0.00448 |
| Haiku 4.5 | $0.00005 | $0.00224 |
Grade A, and why
discuss 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 4d 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 — 239 lines — stays where its author put it; the contents beside it link to each section on GitHub.
$discuss
Run a structured pre-planning dialogue that captures implementation decisions before $plan runs. Prevents the planning agent from silently filling in gaps with choices the developer never consciously made.
Preconditions
.cocoplus/must be initializedlifecycle/spec.mdmust exist (run$specfirst)
Arguments
| Flag | Effect |
|---|---|
| (none) | Standard decision wizard |
--red-team |
Standard wizard + adversarial challenge session after PASS gate |
--red-team activates after the standard wizard completes with a PASS score (≥9). It loads red-team.skill.md and runs a non-blocking adversarial challenge session against every discuss.md decision. Advisory only — does not block $plan.
Step-by-Step Behavior
Phase 1 — Read Spec and Determine Context
-
Verify initialization: Check
.cocoplus/exists. If not, output: "CocoPlus not initialized. Run$pod initfirst." and exit. -
Verify spec.md: Read
.cocoplus/lifecycle/spec.md. If not found, output: "Spec phase must complete before$discuss. Run$specfirst." and exit. -
Detect work type: Analyze
spec.mdto determine the primary type of work:- AI Function build: spec mentions AI_COMPLETE, AI_CLASSIFY, AI_EXTRACT, or similar Cortex function development
- Cortex Search: spec mentions search service configuration or retrieval
- Semantic Model: spec mentions Analytics Engineer semantic modeling
- Data Pipeline: spec describes ETL, transformation, or data movement work
-
Load CocoContext standards (if available): Read
.cocoplus/context/approved-models.md,quality-thresholds.md,warehouse-policy.mdto pre-populate answers where organizational standards are definitive.
Phase 2 — Structured Decision Wizard
Run the following question set adapted to the work type. For each question:
- If CocoContext has a definitive answer (e.g.,
approved-models.mdlists only one approved model), display the standard's answer with attribution and confirm with developer (press Enter to accept or type override) - For open questions, ask clearly and wait for developer response
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.
- 4d ago First seen · 239 lines · 54 tokens per session scan A 72f993ae49ed
discuss is a skill published in the GitHub repository Snowflake-Labs/cocoplus (720 stars, last pushed 5d ago), licensed MIT. It adds 54 tokens to every session and 2,241 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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