Agent skill

Sampling And Indexing

by benchflow-ai in benchflow-ai/skillsbench

Standardize video sampling and frame indexing so interval instructions and mask frames stay aligned with a valid key/index scheme.

Apache-2.0Auto-check passed

Install Sampling And Indexing

skills CLI
$ npx skills add benchflow-ai/skillsbench --skill sampling-and-indexing -a claude-code

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

GitHub CLI
$ gh skill install benchflow-ai/skillsbench sampling-and-indexing --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/benchflow-ai/skillsbench.git skills-src && mkdir -p .claude/skills && cp -r skills-src/tasks/dynamic-object-aware-egomotion/environment/skills/sampling-and-indexing .claude/skills/sampling-and-indexing && 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
sampling-and-indexing
GitHub stars
1.8k
Token cost
~370 tokens
SKILL.md length
132 words
Files
1
Skills in repo
189
Repo updated
First seen
Licence
Apache-2.0

At a glance

Standardize video sampling and frame indexing so interval instructions and mask frames stay aligned with a valid key/index scheme.

  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Sampling And Indexing is an agent skill from benchflow-ai/skillsbench. Standardize video sampling and frame indexing so interval instructions and mask frames stay aligned with a valid key/index scheme.

Its SKILL.md is about 370 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: SkillsBench evaluates how well skills work and how effective agents are at using them. The licence is Apache-2.0.

Example prompts

  • “/sampling-and-indexing”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 9a1f4dd. 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 (its code samples are python).

    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

Sampling And Indexing loads about 370 tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 132 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~38
When it runs · the whole SKILL.md, loaded when a task matches
~370

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

The full file from benchflow-ai/skillsbench at commit 9a1f4dd, republished under its Apache-2.0 licence (© benchflow-ai). 132 words, ~370 tokens.

Download SKILL.mdSave it as .claude/skills/sampling-and-indexing/SKILL.md (or your agent's skills folder).
name
sampling-and-indexing
description
Standardize video sampling and frame indexing so interval instructions and mask frames stay aligned with a valid key/index scheme.

When to use

  • You need to decide a sampling stride/FPS and ensure all downstream outputs (interval instructions, per-frame artifacts, etc.) cover the same frame range with consistent indices.

Core steps

  • Read video metadata: frame count, fps, resolution.
  • Choose a sampling strategy (e.g., every 10 frames or target ~10–15 fps) to produce sample_ids.
  • Only produce instructions and masks for sample_ids; the max index must be < total_frames.
  • Use a strict interval key format such as "{start}->{end}" (integers only). Decide (and document) whether end is inclusive or exclusive, and be consistent.

Pseudocode

python
import cv2
VIDEO_PATH = "<path/to/video>"
cap=cv2.VideoCapture(VIDEO_PATH)
n=int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
fps=cap.get(cv2.CAP_PROP_FPS)
step=10  # example
sample_ids=list(range(0, n, step))
if sample_ids[-1] != n-1:
    sample_ids.append(n-1)
# Generate all downstream outputs only for sample_ids

Self-check list

  • sample_ids strictly increasing, all < total frame count.
  • Output coverage max index matches sample_ids[-1] (or matches your documented sampling policy).
  • JSON keys are plain start->end, no extra text.
  • Any per-frame artifact store (e.g., NPZ) contains exactly the sampled frames and no extras.

© benchflow-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in tasks/dynamic-object-aware-egomotion/environment/skills/sampling-and-indexing of benchflow-ai/skillsbench.

Open the folder on GitHubat commit 9a1f4dd

Compare with similar skills

Sampling And Indexing 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.

Sampling And Indexing compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Sampling And Indexing this skillbenchflow-ai/skillsbench1.8k—~370Automated safety check: PassApache-2.0
Indexabilitythedaviddias/Front-End-Checklist74k—~814Automated safety check: PassMIT
Indexability Conflictsthedaviddias/Front-End-Checklist74k—~876Automated safety check: PassMIT
Telemetry Standardssupabase/supabase111k—~2kAutomated safety check: PassApache-2.0
Index Refreshpaperclipai/paperclip99k—~994Automated safety check: PassMIT
Cpp Coding Standardsaffaan-m/ECC276k4 repos~5.6kAutomated safety check: PassMIT

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Questions about Sampling And Indexing

What does Sampling And Indexing do?

Standardize video sampling and frame indexing so interval instructions and mask frames stay aligned with a valid key/index scheme. Sampling And Indexing is an agent skill from benchflow-ai/skillsbench. Standardize video sampling and frame indexing so interval instructions and mask frames stay aligned with a valid key/index scheme.

How do I install Sampling And Indexing in Claude Code?

Run `npx skills add benchflow-ai/skillsbench --skill sampling-and-indexing -a claude-code`. Or copy the skill folder (tasks/dynamic-object-aware-egomotion/environment/skills/sampling-and-indexing in benchflow-ai/skillsbench) into .claude/skills/sampling-and-indexing in your project. Claude Code loads it when a task matches its description.

How do I install Sampling And Indexing in Codex?

Run `npx skills add benchflow-ai/skillsbench --skill sampling-and-indexing -a codex`. Or copy the skill folder (tasks/dynamic-object-aware-egomotion/environment/skills/sampling-and-indexing in benchflow-ai/skillsbench) into .agents/skills/sampling-and-indexing in your project. Codex loads it when a task matches its description.

Can I use Sampling And Indexing 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 benchflow-ai/skillsbench --skill sampling-and-indexing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sampling-and-indexing, .gemini/skills/sampling-and-indexing, .github/skills/sampling-and-indexing and .opencode/skills/sampling-and-indexing in your project.

What does Sampling And Indexing need to run?

SKILL.md names no scripts, command-line tools or credentials: Sampling And Indexing is instructions for the agent only. Our summary lists: Python 3.

Does Sampling And Indexing 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 Sampling And Indexing 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 Sampling And Indexing use?

Sampling And Indexing is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Sampling And Indexing use?

About 370 tokens (SKILL.md is roughly 1.5k 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 Sampling And Indexing?

Skills that share tags, products or a category with Sampling And Indexing: Indexability (thedaviddias/Front-End-Checklist, 74k stars), Indexability Conflicts (thedaviddias/Front-End-Checklist, 74k stars), Telemetry Standards (supabase/supabase, 111k stars) and Index Refresh (paperclipai/paperclip, 99k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sampling And Indexing?

benchflow-ai (a GitHub organization) maintains it in benchflow-ai/skillsbench, which has 1,834 GitHub stars. The repository holds 189 skills in this directory. The repository was last updated on July 23, 2026.

Source: benchflow-ai/skillsbench on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.