Borrowing it
Nothing to install: this file belongs to HenriqueCotta/ownership-driven-ai-customization-architecture. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/HenriqueCotta/ownership-driven-ai-customization-architecture/main/.github/skills/oda-copilot-customization/SKILL.mdgit clone --depth 1 https://github.com/HenriqueCotta/ownership-driven-ai-customization-architectureWrote 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/henriquecotta/ownership-driven-ai-customization-architecture/oda-copilot-customization)<a href="https://agentmods.dev/skills/henriquecotta/ownership-driven-ai-customization-architecture/oda-copilot-customization"><img src="https://agentmods.dev/badge/skills/henriquecotta/ownership-driven-ai-customization-architecture/oda-copilot-customization/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/henriquecotta/ownership-driven-ai-customization-architecture/oda-copilot-customization"><img src="https://agentmods.dev/badge/skills/henriquecotta/ownership-driven-ai-customization-architecture/oda-copilot-customization.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 | $0.00082 | $0.02238 |
| Opus 5 | $0.00041 | $0.01119 |
| Sonnet 5 | $0.00016 | $0.00448 |
| Haiku 4.5 | $0.00008 | $0.00224 |
Grade A, and why
oda-copilot-customization 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 11d 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 — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ODA Copilot Customization
Use this skill to keep a repository's Copilot customization healthy, current, and professionally reasoned.
The goal is not merely to remove the nearest inconsistency. The goal is a healthy customization map that respects local repository rules, ODA, the latest official Copilot docs, and the repository's desired level of control without overengineering.
Requested Outcome And Scope
Let the user's request define what this pass is for.
Requested outcomes:
- surface in-scope problems, drift, or worthwhile improvements
- think through a specific problem or decision before changing anything
- resolve the requested scope and any follow-through needed to keep the result coherent
Scope:
- keep the scope as narrow as the request honestly allows
- expand scope only when a real dependency, coupled issue, or verification need would make the narrower pass misleading, incomplete, or unsafe
Let the request shape the work:
- Stay in analysis when the user wants understanding, evaluation, or discussion.
- Make changes only within the requested scope and what directly depends on it.
- For broad requests, organize the work and the output in the clearest way for that request.
Treat each use of this skill as one pass. Surface what remains directly instead of managing further passes inside the skill.
This skill must be resilient to change. The platform, its documentation, its support boundaries, and the best implementation path can all change over time. Do not overfit the review to the current wording of a page, the current product menu, or the current shape of the platform. Use stable architectural principles to drive the review, then verify what the current platform can and cannot do in practice.
Required Sources
- ODA sources:
- use the current upstream ODA repository directly as the authoritative source
- repository:
https://github.com/HenriqueCotta/ownership-driven-ai-customization-architecture - do not rely on local mirrors, archived copies, MVP snapshots, or deleted experiments as an authority for ODA
- if the upstream ODA repository cannot be checked, treat the review as verification-blocked instead of pretending the architecture review is current
- Official GitHub Copilot docs:
- discover the currently relevant official docs and official change surfaces that may affect the healthiest design at review time
- do not assume today's doc taxonomy, feature names, or mechanism list will remain stable
- when behavior, availability, or implementation priority may have changed recently, also check the latest official product-update, release-note, changelog, or equivalent official change surface that clarifies the current behavior
- do not treat one static docs page as sufficient proof of the current best implementation path if newer official material indicates the platform behavior changed
- stop broadening the search once the remaining uncertainty would no longer change the decision
- Local repository sources of truth, bridges, mirrors, and safeguards:
- the current customization source of truth
- any compatibility bridge
- maintainer-facing mirrors of customization behavior
- automated safeguards that validate or protect the customization map
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.
- 11d ago First seen · 158 lines · 82 tokens per session scan A d3cc5d6fc06a
oda-copilot-customization is a skill published in the GitHub repository HenriqueCotta/ownership-driven-ai-customization-architecture (5 stars, last pushed 4mo ago), licensed MIT. It adds 82 tokens to every session and 2,238 once invoked, about $0.0004 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 2026-08-31.
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