Runs an honest EDA and signal audit — distributions first, heavy-tail handling, verdict-style mini-tests (CONFIRMED/OPPOSITE/MIXED/FALSE), sample-size floors.

Custom licenceAuto-check passedResearch & Science

Install Auditing Signals

skills CLI
$ npx skills add flyrank-bih/flyrank-ml-internship-starter --skill auditing-signals -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install flyrank-bih/flyrank-ml-internship-starter auditing-signals --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/flyrank-bih/flyrank-ml-internship-starter.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/auditing-signals .claude/skills/auditing-signals && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
auditing-signals
GitHub stars
140
Token cost
~656 tokens
SKILL.md length
355 words
Files
1
Skills in repo
13
Repo updated
First seen
Licence
Custom licence

At a glance

Runs an honest EDA and signal audit — distributions first, heavy-tail handling, verdict-style mini-tests (CONFIRMED/OPPOSITE/MIXED/FALSE), sample-size floors.

  • Tasks that involve Experimental design
  • SKILL.md covers Order of operations, Traps and How to verify
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Auditing Signals is an agent skill from flyrank-bih/flyrank-ml-internship-starter. Runs an honest EDA and signal audit — distributions first, heavy-tail handling, verdict-style mini-tests (CONFIRMED/OPPOSITE/MIXED/FALSE), sample-size floors. Use before modeling, when testing whether a popular belief shows up in data, or when a correlation looks too good.

Its SKILL.md is about 660 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Experimental design. The repository describes itself as: Starter repo for the FlyRank ML Internship - a runnable ML pipeline on real anonymized Google Search data, with Colab notebooks. Fork it, build your capstone in it.

When your agent uses it

  • Tasks that involve Experimental design

Example prompts

  • “/auditing-signals”

What it can do on your machine

Read from SKILL.md and the folder at commit 882b73e. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Auditing Signals loads about 656 tokens when it runs. Until then it costs about 73 tokens; SKILL.md has 355 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~73
When it runs · the whole SKILL.md, loaded when a task matches
~656

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 355 words (~656 tokens).

“Look before deciding. A signal audit asks one question per test: "does the data actually show the story people tell?" — and accepts NO as a valid, publishable answer.”

— opening of SKILL.md by flyrank-bih, Custom licence
name
auditing-signals

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/auditing-signals of flyrank-bih/flyrank-ml-internship-starter.

Open the folder on GitHubat commit 882b73e

Compare with similar skills

Auditing Signals next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Auditing Signals compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Auditing Signals this skillflyrank-bih/flyrank-ml-internship-starter140—~656Automated safety check: PassCustom licence
Scientific Critical Thinkingweapp-tailwindcss/weapp-tailwindcss1.9k22 repos~5.9kAutomated safety check: NotesMIT
Benchmark Paper TemplateHKUSTDial/Supervisor-Skills8.8k—~2.8kAutomated safety check: PassCC-BY-4.0
Claim-Driven Experiment PlannerzjYao36/Auto-Research-Refine1286 repos~2.3kAutomated safety check: NotesNone
Research Refine PipelinezjYao36/Auto-Research-Refine1285 repos~1.4kAutomated safety check: NotesNone
Metabolic Study Planneraiming-lab/AutoResearchClaw15k—~1.9kAutomated safety check: PassMIT

Similar skills

  • Scientific Critical Thinking

    weapp-tailwindcss/weapp-tailwindcss

    Evaluate research rigor. An agent skill from weapp-tailwindcss/weapp-tailwindcss.

    1.9k GitHub starsUsed in 22 repos~5.9k tokens
    Research & ScienceAuto-check: notes
  • Benchmark Paper Template

    HKUSTDial/Supervisor-Skills

    Structures benchmark and evaluation papers around five pillars, with a completeness audit, an Introduction logic chain, a section skeleton and a pre-submission checklist.

    8.8k GitHub stars~2.8k tokensUpdated 1 mo ago
    Research & ScienceAuto-check passed
  • Claim-Driven Experiment Planner

    zjYao36/Auto-Research-Refine

    Turns a refined research proposal into a claim-to-evidence-to-run-order roadmap instead of a sprawling benchmark wishlist.

    128 GitHub starsUsed in 6 repos~2.3k tokens
    Research & ScienceAuto-check: notes
  • Research Refine Pipeline

    zjYao36/Auto-Research-Refine

    Chains research-refine and experiment-plan to turn a vague research direction into a focused proposal and a claim-driven experiment roadmap.

    128 GitHub starsUsed in 5 repos~1.4k tokens
    Research & ScienceAuto-check: notes
  • Metabolic Study Planner

    aiming-lab/AutoResearchClaw

    Turns a broad metabolic modelling topic into a concrete, paper-shaped plan with organism, model, perturbations, metrics and figures before any FBA code is written.

    15k GitHub stars~1.9k tokensUpdated 1 mo ago
    Research & ScienceAuto-check passed
  • Analytical Method Validation Planner

    K-Dense-AI/scientific-agent-skills

    Plans, runs, and documents analytical method validation, verification, or transfer studies under ICH Q2(R2)/Q14, USP, ICH M10, CLSI EP, or ISO/IEC 17025.

    48k GitHub starsUsed in 1 repo~4.9k tokens
    Research & ScienceAuto-check: notes

More from flyrank-bih/flyrank-ml-internship-starter

All 13 skills in this repo
  • Querying Big Datasets

    flyrank-bih/flyrank-ml-internship-starter

    Works with datasets far too big to download or load in pandas — SQL over remote Parquet with DuckDB, aggregate-then-model, iterate on samples.

    140 GitHub stars~750 tokensUpdated 1 mo ago
    Auto-check passed
  • Building Baselines

    flyrank-bih/flyrank-ml-internship-starter

    Builds the transparent rule-based baseline every model must beat — a hand-written score with reason codes, ranked output, and precision@K evaluation.

    140 GitHub stars~587 tokensUpdated 1 mo ago
    Auto-check passed
  • Deploying Static Pages

    flyrank-bih/flyrank-ml-internship-starter

    Deploys a static page (research paper, portfolio piece) for free from a GitHub repo using GitHub Pages — setup, file layout, verification, and recording the final URL.

    140 GitHub stars~564 tokensUpdated 1 mo ago
    Auto-check passed
  • Framing ML Problems

    flyrank-bih/flyrank-ml-internship-starter

    Frames a data/ML problem before any modeling — the decision, the action, the cost of a wrong call, task type, target, and success metric.

    140 GitHub stars~700 tokensUpdated 1 mo ago
    Auto-check passed
  • Training Honest Models

    flyrank-bih/flyrank-ml-internship-starter

    Trains a first model the honest way — method chosen to fit the question, compared against the baseline on the same split and metric, errors read before scores are believed.

    140 GitHub stars~588 tokensUpdated 1 mo ago
    Auto-check passed
  • Writing Honest Claims

    flyrank-bih/flyrank-ml-internship-starter

    Writes findings in language the evidence can carry — the claim ladder (observed → directional → decision-support, never causal without a design), effect sizes over drama, banned phrasings.

    140 GitHub stars~665 tokensUpdated 1 mo ago
    Auto-check passed

Questions about Auditing Signals

What does Auditing Signals do?

Runs an honest EDA and signal audit — distributions first, heavy-tail handling, verdict-style mini-tests (CONFIRMED/OPPOSITE/MIXED/FALSE), sample-size floors. Auditing Signals is an agent skill from flyrank-bih/flyrank-ml-internship-starter. Runs an honest EDA and signal audit — distributions first, heavy-tail handling, verdict-style mini-tests (CONFIRMED/OPPOSITE/MIXED/FALSE), sample-size floors.

When should I use Auditing Signals?

Auditing Signals fits situations like: tasks that involve Experimental design.

How do I install Auditing Signals in Claude Code?

Run `npx skills add flyrank-bih/flyrank-ml-internship-starter --skill auditing-signals -a claude-code`. Or copy the skill folder (skills/auditing-signals in flyrank-bih/flyrank-ml-internship-starter) into .claude/skills/auditing-signals in your project. Claude Code loads it when a task matches its description.

How do I install Auditing Signals in Codex?

Run `npx skills add flyrank-bih/flyrank-ml-internship-starter --skill auditing-signals -a codex`. Or copy the skill folder (skills/auditing-signals in flyrank-bih/flyrank-ml-internship-starter) into .agents/skills/auditing-signals in your project. Codex loads it when a task matches its description.

Can I use Auditing Signals in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add flyrank-bih/flyrank-ml-internship-starter --skill auditing-signals -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/auditing-signals, .gemini/skills/auditing-signals, .github/skills/auditing-signals and .opencode/skills/auditing-signals in your project.

What does Auditing Signals need to run?

SKILL.md names no scripts, command-line tools or credentials: Auditing Signals is instructions for the agent only.

Does Auditing Signals access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Auditing Signals safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Auditing Signals use?

Auditing Signals has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Auditing Signals use?

About 656 tokens (SKILL.md is roughly 2.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Auditing Signals?

Skills that share tags, products or a category with Auditing Signals: Scientific Critical Thinking (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars), Benchmark Paper Template (HKUSTDial/Supervisor-Skills, 8.8k stars), Claim-Driven Experiment Planner (zjYao36/Auto-Research-Refine, 128 stars) and Research Refine Pipeline (zjYao36/Auto-Research-Refine, 128 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Auditing Signals?

flyrank-bih (a GitHub organization) maintains it in flyrank-bih/flyrank-ml-internship-starter, which has 140 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on August 20, 2026.

Source: flyrank-bih/flyrank-ml-internship-starter on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.