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 agentmods add skills/drvoss/everything-copilot-cli/ecosystem-intakenpx skills add drvoss/everything-copilot-cli --skill ecosystem-intakegit clone --depth 1 https://github.com/drvoss/everything-copilot-cliWhat 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 | $0.00043 | $0.02996 |
| Opus 5 | $0.00022 | $0.01498 |
| Sonnet 5 | $0.00009 | $0.00599 |
| Haiku 4.5 | $0.00004 | $0.00300 |
Grade A, and why
ecosystem-intake 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 2d 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 — 319 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ecosystem Intake
Curated lists are only useful if they turn into decisions. This skill converts ecosystem
inputs like awesome-claude-code, release notes, or community skill collections into a
structured adopt / adapt / reject backlog for this repository.
Why This is Copilot-Exclusive
The value is not generic web research. The value is combining GitHub-native repository inspection with session SQL tracking in one workflow:
- GitHub MCP or
web_fetchto read the upstream list or repo state - SQL tables to track candidate items and triage status
- Copilot task routing to decide whether a candidate becomes a new skill, an update, or a rejection
This makes the output actionable instead of leaving it as a loose research note.
When to Use
- A curated list like
awesome-claude-codegained new entries and you want backlog candidates - A monitored ecosystem repo added a new command, skill, hook, or workflow worth evaluating
- You want to scan merged PRs or README diffs and convert them into concrete next steps
- You need a repeatable intake process instead of ad-hoc "maybe we should copy this"
When NOT to Use
| Instead of ecosystem-intake | Use |
|---|---|
| Deep evidence-gathering on a broad technical topic | deep-research |
| Translating one known external pattern into a new skill | skill-creator |
| Choosing how to execute an already-approved task | task-intake-router |
Intake Outcome Categories
Each candidate should end in exactly one bucket:
| Outcome | Meaning |
|---|---|
| Adopt | Create a new skill or workflow because the gap is real and distinct |
| Adapt | Update an existing skill because the idea fits, but the primitive already exists here |
| Reject | Do not add it; document why it is redundant, incompatible, or low value |
Workflow
0. Load the recurring-monitoring playbook when needed
If you are setting up or revisiting an ongoing watchlist, load the reference playbook first:
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.
- 2d ago First seen · 319 lines · 43 tokens per session scan A 7af3f853c3de
ecosystem-intake is a skill published in the GitHub repository drvoss/everything-copilot-cli (45 stars, last pushed 5d ago), licensed MIT. It adds 43 tokens to every session and 2,996 once invoked, about $0.0002 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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