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 qarium/goga --skill goga-cell-pythongit clone --depth 1 https://github.com/qarium/gogaWrote 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/qarium/goga/goga-cell-python)<a href="https://agentmods.dev/skills/qarium/goga/goga-cell-python"><img src="https://agentmods.dev/badge/skills/qarium/goga/goga-cell-python/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/qarium/goga/goga-cell-python"><img src="https://agentmods.dev/badge/skills/qarium/goga/goga-cell-python.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00013 | $0.00913 |
| Opus 5.5 | $0.00005 | $0.00365 |
| Sonnet 5.5 | $0.00003 | $0.00183 |
| Haiku 4.5 | $0.00001 | $0.00091 |
Grade A, and why
goga-cell-python 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 — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python: Contract Implementation Rules
Language skill for Python.
Apply the specification within the context of the invoking skill. Do not paraphrase the content — use it for decision-making.
Invoke via the goga-lang-disp router.
Examples
Full CODEMANIFEST example for Python with all DSL constructs:
Imports:
- Types:
- DataModel
- BaseConfig AS Config
Usages:
- serialization
From: path/to/data_cell
Usages:
conventions: .goga/usages/python_conventions.md
pattern: |
All public methods must use type hints. Return values are immutable where possible.
testing: |
Each routine and entity method must have a corresponding test in tests/.
Annotations: |
Use `conventions` for code style.
Use `testing` for test requirements.
Use `serialization` from Imports for data encoding patterns.
All methods must return concrete types, not `Any`.
---
"parse_input(input: str) -> data: bytes":
location: parser.py
annotations: |
Parse raw input string into structured data.
`input`: raw string to parse
Use `pattern` for implementation.
"DataProcessor(config: Config)":
location: processor.py
annotations: |
Process data according to configuration.
`config`: processor configuration from `Config` type.
Use `serialization` from Imports for encoding.
Use `conventions` for code style.
properties:
"name -> str": |
Processor identifier.
"buffer_size -> int": |
Maximum buffer size in bytes.
methods:
"process(data: list[T]) -> result: list[T]": |
Process a batch of data items.
`data`: input items to process
`result`: processed items
Use `pattern` for implementation.
"reset()": |
Reset internal state.
"BaseHandler::HTTPHandler(host: str)":
location: handler.py
annotations: |
HTTP-specific handler extending BaseHandler.
`host`: server hostname
Use `serialization` from Imports for request/response encoding.
->DataModel: {}
---
Author: Goga
CreatedAt: 22/05/26
Description: |
Example CODEMANIFEST demonstrating all DSL constructs for Python.
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 · 163 lines · 13 tokens per session scan A b0cdd8375de7
goga-cell-python is a skill published in the GitHub repository qarium/goga (44 stars, last pushed 2d ago), licensed BSD-3-Clause. It adds 13 tokens to every session and 913 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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