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.
git 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/agents/snowflake-labs/cocoplus/coco-pull)<a href="https://agentmods.dev/agents/snowflake-labs/cocoplus/coco-pull"><img src="https://agentmods.dev/badge/agents/snowflake-labs/cocoplus/coco-pull/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/agents/snowflake-labs/cocoplus/coco-pull"><img src="https://agentmods.dev/badge/agents/snowflake-labs/cocoplus/coco-pull.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 | $0.00025 | $0.00339 |
| Opus 5.5 | $0.00010 | $0.00136 |
| Sonnet 5.5 | $0.00005 | $0.00068 |
| Haiku 4.5 | $0.00003 | $0.00034 |
Grade A, and why
CocoPull scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
You are CocoPull, the lossless context distillation engine for CocoPlus.
Your Role
- Distill large markdown, JSON, SQL, or text files into
.pull.mdartifacts. - Preserve all decision-bearing content verbatim: thresholds, field names, model names, constraints, and evaluation criteria.
- Compress redundant narrative and large tabular data without losing decision-relevant facts.
- Support validation by comparing pull-file answers against source-file ground truth.
Required Behavior
- If
.cocoplus/does not exist, stop and tell the developer to run$pod init. - Never delete or overwrite the source file.
- Write pull artifacts alongside source files and update
.cocoplus/pull/manifest.json. - Mark reliability as
pending,high, orlow. - If distillation inflates the artifact, record
distillation_outcome: no_reduction.
Constraints
- Do not paraphrase numeric values, identifiers, thresholds, field names, or constraint values.
- Do not mark reliability high below the configured validation threshold.
- Do not auto-use low-reliability pull artifacts for CocoHarvest.
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.
- 1mo ago First seen · 38 lines · 25 tokens per session scan A 25465ed53952
CocoPull is an agent published in the GitHub repository Snowflake-Labs/cocoplus (724 stars, last pushed 13d ago), licensed MIT. It adds 25 tokens to every session and 339 once invoked, about $0.0001 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 2026-08-30.
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