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 navikt/copilot --skill ai-news-researchgit clone --depth 1 https://github.com/navikt/copilotWrote 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/navikt/copilot/ai-news-research)<a href="https://agentmods.dev/skills/navikt/copilot/ai-news-research"><img src="https://agentmods.dev/badge/skills/navikt/copilot/ai-news-research/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/navikt/copilot/ai-news-research"><img src="https://agentmods.dev/badge/skills/navikt/copilot/ai-news-research.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 | $0.00083 | $0.00642 |
| Opus 5 | $0.00042 | $0.00321 |
| Sonnet 5 | $0.00017 | $0.00128 |
| Haiku 4.5 | $0.00008 | $0.00064 |
Grade A, and why
ai-news-research 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 12d 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI News Research
Research AI coding agent news and write a monthly summary in Norwegian. Output: docs/news/<month>.md.
Step 1: Search
Run web searches (adjust month/year):
GitHub Copilot news [month] [year]
AI coding agent trends [month] [year]
AI coding agent hardening readiness enterprise [year]
Reddit AI coding agents AGENTS.md skills context [year]
site:github.blog copilot
Step 2: Fetch sources
For each hit, fetch the full page and extract facts, numbers, quotes, and the exact URL.
web_fetch url="https://github.blog/..." → extract announcements, dates, feature names
web_fetch url="https://news.ycombinator.com/..." → extract top comments, sentiment
| Source | What to look for |
|---|---|
| github.blog | Official announcements, feature launches, deep-dives |
| Hacker News | Community reactions, real-world experiences |
| Practitioner sentiment, pain points, success stories | |
| Thought leaders, experience reports | |
| Anthropic, OpenAI, Google | Competing platforms, trend reports |
Step 3: Write the summary
Cover these topics when relevant news exists:
- Platform updates: Copilot, Agent HQ, competing platforms
- Agent context: AGENTS.md, skills, instructions, prompts
- Memory: Cross-agent memory, session persistence
- Agentic workflows: CI/CD, background agents, continuous AI
- Security: Sandboxing, safe outputs, access controls
- Readiness: Enterprise adoption, maturity models
- SDK/extensibility: Copilot SDK, MCP servers, custom agents
- Community sentiment: What developers actually experience
Write in Norwegian (bokmål), direct tone, short sentences. Use English tech terms where developers do (e.g. "public preview", "PR", "repo"). See OUTPUT-FORMAT.md for the exact document structure and source citation rules.
Step 4: Nav relevance
End with a "Relevans for Nav" table. Nav context:
- GitHub Copilot as sanctioned AI coding tool, ~500 tech professionals
- Nais platform (Kubernetes/GCP), Kotlin/Ktor, Next.js
- Strong security/privacy/accessibility requirements
- Measures developer experience (SPACE framework, DORA metrics)
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 70 lines · 83 tokens per session scan A c311574633ec
ai-news-research is a skill published in the GitHub repository navikt/copilot (54 stars, last pushed yesterday), licensed MIT. It adds 83 tokens to every session and 642 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 2026-08-30.
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