imc-experiments
Use when designing or auditing ACM IMC measurements, covering representative vantage points, honest ground truth, longitudinal design for a moving Internet, safe and ethical active measurement, coverage-bias quantification, provenance pinning, and matching the measurement to the shape of each claim about the real Internet.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill imc-experiments --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# IMC Measurements Use this before submission when the measurement design is not yet locked. IMC reviewers are measurement empiricists; the study is where a good question is won or lost. The organizing principle is **evidence proportional to a claim about the real Internet** — the measurement must observe the thing the paper asserts, from vantage points and over a period a skeptic would accept, and it must be collected safely and ethically. ## Design audit - **Match the measurement to the claim shape.** A claim about *reachability in the wild* needs many real vantage points; a claim about *deployment* needs coverage of the population; a claim about *behavior over time* needs a dated longitudinal window; a claim about *security* needs validated ground truth. A snapshot from two hosts cannot support a wild-Internet claim. - **Choose vantage points for representativeness, not convenience.** Name locations, ASes, and probe types; argue why they support the claim; and **quantify the coverage bias** you cannot remove (e.g., volunteer probes over-representing certain regions). - **Get ground truth right.** For detection/labeling claims, state where the labels come from and validate a subs
- Design audit
- Claim-to-evidence design table
- Ethical and safe active measurement
- Provenance floor for measurement studies
- Vignette: measuring protocol deployment
- Reporting floor
- Output format
What does the imc-experiments skill do?
Use when designing or auditing ACM IMC measurements, covering representative vantage points, honest ground truth, longitudinal design for a moving Internet, safe and ethical active measurement, coverage-bias quantification, provenance pinning, and matching the measurement to the shape of each claim about the real Internet.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill imc-experiments --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.