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 pullgit 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/pull)<a href="https://agentmods.dev/skills/snowflake-labs/cocoplus/pull"><img src="https://agentmods.dev/badge/skills/snowflake-labs/cocoplus/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/skills/snowflake-labs/cocoplus/pull"><img src="https://agentmods.dev/badge/skills/snowflake-labs/cocoplus/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 | $0.00052 | $0.02709 |
| Opus 5.5 | $0.00021 | $0.01084 |
| Sonnet 5.5 | $0.00010 | $0.00542 |
| Haiku 4.5 | $0.00005 | $0.00271 |
Grade A, and why
pull 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.
How it starts
The opening of the file, as written. The whole thing — 227 lines — stays where its author put it; the contents beside it link to each section on GitHub.
$pull
Distill a file or directory of files into a pull artifact (.pull.md) that preserves all decision-relevant information while reducing token consumption. CocoHarvest uses pull files automatically when stage inputs exceed the configured token threshold.
Preconditions
.cocoplus/must be initialized (run$pod initfirst)<target>file or directory must exist
Arguments
| Argument | Description |
|---|---|
<target> (required) |
File path or directory to distill. Eligible: .md, .json, .sql, .txt |
--validate (optional) |
Run round-trip reconstruction test after distillation |
--human (optional) |
Produce human-readable narrative summary instead of LLM-dense pull file |
Two output modes:
- Default (no flag): Produce
<target>.pull.md— machine-dense, LLM-optimized, verbatim decision values. Used automatically by CocoHarvest. --human: Produce<target>.pull-human.md— prose narrative for stakeholder consumption. Not used by CocoHarvest. Never overwrites the.pull.mdmachine output.
Step-by-Step Behavior
$pull <target> --human
-
Verify initialization and target (same as default mode steps 1–2).
-
Spawn Sonnet narrative subagent: Reads
<target>and produces a prose summary optimized for a non-technical stakeholder audience. Rules:- Lead with the most important conclusion or finding (inverted pyramid)
- Use plain language — no SQL, no JSON field names unless unavoidable
- Express numeric values in context: not "0.88" but "88% accuracy — above the 85% threshold set in discuss.md"
- Maximum 500 words unless source content genuinely requires more
- Do not include raw tables — translate to sentences or brief bullets
-
Write output to
<target>.pull-human.md. Include header:--- pull_source: [source file path] pull_timestamp: [ISO8601] pull_mode: human audience: stakeholder --- -
Do NOT update
.cocoplus/pull/manifest.jsonfor human-mode output — human pull files are not CocoHarvest artifacts.
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 · 227 lines · 52 tokens per session scan A e0a7a7c26708
pull is a skill published in the GitHub repository Snowflake-Labs/cocoplus (727 stars, last pushed 25d ago), licensed MIT. It adds 52 tokens to every session and 2,709 once invoked, about $0.0002 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 2026-09-03.
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