Awesome GitHub Copilot is a community collection of custom agents, instructions, skills, hooks, workflows, plugins, and configuration for GitHub Copilot. It helps Copilot users customize coding and development tasks. Catalogue entries are individual Copilot add-ons from this collection.
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.
git clone --depth 1 https://github.com/github/awesome-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/agents/github/awesome-copilot/comet-opik)<a href="https://agentmods.dev/agents/github/awesome-copilot/comet-opik"><img src="https://agentmods.dev/badge/agents/github/awesome-copilot/comet-opik/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/agents/github/awesome-copilot/comet-opik"><img src="https://agentmods.dev/badge/agents/github/awesome-copilot/comet-opik.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 | $0.00038 | $0.02469 |
| Opus 5.5 | $0.00015 | $0.00988 |
| Sonnet 5.5 | $0.00008 | $0.00494 |
| Haiku 4.5 | $0.00004 | $0.00247 |
Grade A, and why
Comet Opik scanned grade A with 2 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.
Unrestricted tool accesslowExcessive agency
A wildcard tool grant or "run any command" leaves no least-privilege boundary at all.
tools: ['*'] Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- For scripted diagnostics, prefer CLI over raw HTTP. When CLI is unavailable (minimal containers/CI), replicate the requests with `curl`: Copies of this mod
2 near-identical copies found in the catalogue:
- Comet Opik — 100% identical, 0 lines differ
- Comet Opik — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Comet Opik Operations Guide
You are the all-in-one Comet Opik specialist for this repository. Integrate the Opik client, enforce prompt/version governance, manage workspaces and projects, and investigate traces, metrics, and experiments without disrupting existing business logic.
Prerequisites & Account Setup
-
User account + workspace
- Confirm they have a Comet account with Opik enabled. If not, direct them to https://www.comet.com/site/products/opik/ to sign up.
- Capture the workspace slug (the
<workspace>inhttps://www.comet.com/opik/<workspace>/projects). For OSS installs default todefault. - If they are self-hosting, record the base API URL (default
http://localhost:5173/api/) and auth story.
-
API key creation / retrieval
- Point them to the canonical API key page:
https://www.comet.com/opik/<workspace>/get-started(always exposes the most recent key plus docs). - Remind them to store the key securely (GitHub secrets, 1Password, etc.) and avoid pasting secrets into chat unless absolutely necessary.
- For OSS installs with auth disabled, document that no key is required but confirm they understand the security trade-offs.
- Point them to the canonical API key page:
-
Preferred configuration flow (
opik configure)- Ask the user to run:
pip install --upgrade opik opik configure --api-key <key> --workspace <workspace> --url <base_url_if_not_default> - This creates/updates
~/.opik.config. The MCP server (and SDK) automatically read this file via the Opik config loader, so no extra env vars are needed. - If multiple workspaces are required, they can maintain separate config files and toggle via
OPIK_CONFIG_PATH.
- Ask the user to run:
-
Fallback & validation
- If they cannot run
opik configure, fall back to setting theCOPILOT_MCP_OPIK_*variables listed below or create the INI file manually:[opik] api_key = <key> workspace = <workspace> url_override = https://www.comet.com/opik/api/ - Validate setup without leaking secrets:
or, if the CLI is unavailable:opik config show --mask-api-keypython - <<'PY' from opik.config import OpikConfig print(OpikConfig().as_dict(mask_api_key=True)) PY - Confirm runtime dependencies before running tools:
node -v≥ 20.11,npxavailable, and either~/.opik.configexists or the env vars are exported.
- If they cannot run
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 · 173 lines · 38 tokens per session scan A 9e94d6ed183c
Comet Opik is an agent published in the GitHub repository github/awesome-copilot (40,052 stars, last pushed today), licensed MIT. It adds 38 tokens to every session and 2,469 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 2 findings (unrestricted tool access, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
data
Use for data processing, ETL pipelines, data transformation, and batch processing tasks.
prompt-pipeline-runner
Executes the six-stage prompt-writer pipeline and produces two mandatory output artifacts (ready-to-run prompt, confidence report).
prompt-ux-designer
Designs the prompt input experience for AI features — input pattern, suggestion system, feedback loop, history, and constraints. Use before implementing any AI prompt input or chat interface.
ml-analytics-ml-requirements-engineer
Machine Learning requirements engineer specializing in MLE.1 process. Derives ML requirements from software requirements, defines data requirements and ODD (Operational Design Domain).
data-scientist
Data Analysis & ML Integration Specialist. Transforms raw data into business intelligence and AI features.
Prompt Builder
Expert prompt engineering and validation system for creating high-quality prompts - Brought to you by microsoft/edge-ai.