Agent skill

Survey

by mathbullet in mathbullet/skills

Investigate a topic across papers, articles, social-media posts, and industry signals, then deliver an indexed Markdown report.

MITAuto-check passedWriting & Content

Install Survey

skills CLI
$ npx skills add mathbullet/skills --skill survey -a claude-code

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

GitHub CLI
$ gh skill install mathbullet/skills survey --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/mathbullet/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/survey/skills/survey .claude/skills/survey && 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
survey
GitHub stars
172
Token cost
~1.7k tokens
SKILL.md length
743 words
Files
1
Skills in repo
8
Repo updated
First seen
Licence
MIT

At a glance

Investigate a topic across papers, articles, social-media posts, and industry signals, then deliver an indexed Markdown report.

  • Works in 3 steps: Prose: the writer states the claim or… → Immediately after, a code-block… → On the line after the closing fence,…
  • The user asks to investigate
  • SKILL.md covers Quality criteria, Prose structure:…, Source-reference label and Heading-content alignment, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Survey is an agent skill from mathbullet/skills. Investigate a topic across papers, articles, social-media posts, and industry signals, then deliver an indexed Markdown report. Use when the user asks to investigate, survey, gather sources, build an index, collect evidence, round up references, or otherwise wants a thorough cross-source roundup on a specific topic. Depends on documenting-with-sources and writing-quotation.

Its SKILL.md is about 1.7k 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 Writing & Content, covering Social media posts. The repository describes itself as: mathbullet Agent Skills. The licence is MIT.

When your agent uses it

  • The user asks to investigate
  • Collect evidence
  • Round up references
  • Otherwise wants a thorough cross-source roundup on a specific topic

Example prompts

  • “/survey”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Prose: the writer states the claim or summary in their own words first.
  2. Immediately after, a code-block quotation from the source backs up the claim, formatted per writing-quotation.
  3. On the line after the closing fence, place the source reference [source-name (YYYY/MM)].

What it can do on your machine

Read from SKILL.md and the folder at commit 5ab997f. 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

Survey loads about 1.7k tokens when it runs. Until then it costs about 96 tokens; SKILL.md has 743 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~96
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

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 mathbullet/skills at commit 5ab997f, republished under its MIT licence (© mathbullet). 743 words, ~1,662 tokens.

Download SKILL.mdSave it as .claude/skills/survey/SKILL.md (or your agent's skills folder).
name
survey
description
Investigate a topic across papers, articles, social-media posts, and industry signals, then deliver an indexed Markdown report. Use when the user asks to investigate, survey, gather sources, build an index, collect evidence, round up references, or otherwise wants a thorough cross-source roundup on a specific topic. Depends on documenting-with-sources and writing-quotation.

Survey

Gather sources from the web, papers, social media, and industry on a specific topic, and produce an indexed Markdown report.

This skill follows the shared sourced-writing conventions defined in documenting-with-sources. Read documenting-with-sources before drafting.

Quality criteria

Apply to every source.

  • Prefer trustworthy sources (peer-reviewed papers > official blogs > major industry media > personal blogs).
  • If the author is an individual, list their affiliation and role. If unknown, look it up.
  • For papers, in addition to bibliographic info (authors, affiliations, venue, year), include citation count.
  • Always attach a URL.
  • Always attach a date.
  • Treat official documentation and third-party articles as different reliability tiers. Do not mix them; the reader must be able to tell which is which.

Prose structure: Assertion-Evidence form

Write the body in Assertion-Evidence form — claim first, then evidence.

  1. Prose: the writer states the claim or summary in their own words first.
  2. Immediately after, a code-block quotation from the source backs up the claim, formatted per writing-quotation.
  3. On the line after the closing fence, place the source reference [source-name (YYYY/MM)].

The reader grasps "what is being said" first, then checks "what is the basis". The reverse order (quotation first, claim later) is forbidden — the reader cannot tell what the quotation is for until they have read past it.

Bad example (quotation first):

The standard recipe of pretraining on huge corpora and then running classical preference-label RLHF is now widely treated as obsolete.

[industry-tracker (2026/03)]

The mainstream has shifted to a modular post-training stack.

Good example (claim first):

The classical RLHF pipeline (human preference labels → reward model → PPO) is no longer used in leading models; it has been replaced by a modular stack that separates concerns.

The standard recipe of pretraining on huge corpora and then running classical preference-label RLHF is now widely treated as obsolete. Every leading model released in the past year uses a different post-training stack.

[industry-tracker (2026/03)]

Source-reference label

Within the [label (YYYY/MM), location] structure defined in documenting-with-sources, the survey skill fills the label slot with the publication or source name (media name, site name, etc.). The location is omitted when it cannot be pinned down.

Heading-content alignment

Section headings and the items placed under them must match exactly.

  • If a heading is "human-side guardrails", only human conduct and discipline goes underneath. Tooling and CI/CD belong under a separate heading.
  • If a heading is "failure cases", do not mix in success stories or recommendations.
  • If a source spans multiple angles, either split it across the relevant sections, or place it under the most appropriate one and add an explicit note about the other angles.
  • Before finalising, walk every heading and check that everything underneath it actually belongs there.

Output destination

Write the deliverable to {CWD}/reports/ as a .md file. Create the directory if it does not exist. Sub-agents that emit intermediate artefacts use the same directory.

Show full SKILL.md (324 more words)Show less

Workflow

  1. From the user's request, identify the claim or hypothesis and the collection scope.
  2. Design search queries for the scope (in multiple languages where appropriate).
  3. Dispatch sub-agents to investigate (one per angle, in parallel).
  4. Consolidate the sub-agent outputs; the main agent assembles the final version.
  5. Write out the deliverable to {CWD}/reports/ as a .md file.

Sub-agent delegation rules

When delegating to sub-agents, follow these.

  • Split by angle and dispatch in parallel (e.g. "papers & academia", "media & blogs", "social media", "industry signals").
  • Give each sub-agent the quality criteria and the conventions from documenting-with-sources. Re-emphasise "no fabricated associations or interpretations" specifically — sub-agents are particularly prone to drifting toward the calling-conversation context and inventing connections.
  • Sub-agent output is not the final deliverable. The main agent performs:
    • Deduplication.
    • Information completion (filling in missing affiliations, citation counts, etc. via additional lookups).
    • Structural unification (tables, consistent section structure).
    • Separation of criticism from supporting evidence.
    • Explicit listing of investigation limits (information that could not be retrieved, unverified URLs, etc.).
    • Removal of fabricated associations (see the corresponding section in documenting-with-sources).
    • Heading-content alignment check (see above).

Deliverable structure

# Survey of {topic}

Date: YYYY-MM-DD
Scope: {scope description}

## Table of Contents

1. [{angle 1}](#1-angle-1-slug)
2. [{angle 2}](#2-angle-2-slug)
...
N. [Criticism & concerns](#n-criticism-concerns)
N+1. [Overall assessment](#n1-overall-assessment)
N+2. [Investigation limits](#n2-investigation-limits)

## 1. {angle 1} (e.g. academic papers)
## 2. {angle 2} (e.g. media coverage)
## 3. {angle 3} (e.g. social-media reactions)
## 4. {angle 4} (e.g. industry signals)
## N. Criticism & concerns
## N+1. Overall assessment
## N+2. Investigation limits

Adjust the section layout for the topic.

Table-of-contents requirements

Always place a table of contents at the top of the report, directly after the metadata block and before the body. Writing the report without a ToC is forbidden.

  • If there are ten or more sections, or fifteen or more individual items (papers, articles, etc.), use a two-level ToC. Level 1 is the section name; level 2 is the section's main items (paper titles, article headlines, ...).
  • For short reports (five or fewer sections, few items per section) a single-level ToC is fine.
  • Provide anchor links. Use the renderer's slug rules (lowercased, spaces → hyphens, special characters dropped) for the link targets.
  • Even when the slug rule is uncertain, write the link rather than dropping it; let the renderer slugify.
  • ToC entries and section headings must match word for word. No abbreviation or paraphrase.

© mathbullet, MIT. 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 plugins/survey/skills/survey of mathbullet/skills.

Open the folder on GitHubat commit 5ab997f

Compare with similar skills

Survey 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.

Survey compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Survey this skillmathbullet/skills172—~1.7kAutomated safety check: PassMIT
Social Contentfreekmurze/dotfiles1k22 repos~2.1kAutomated safety check: PassNone
Linkedin Marketingsergebulaev/linkedin-skills4.3k1 repos~3.2kAutomated safety check: NotesMIT
Linkedin Content Plannersergebulaev/linkedin-skills4.3k1 repos~2.1kAutomated safety check: PassMIT
Typefullyfreekmurze/dotfiles1k1 repos~3.4kAutomated safety check: NotesNone
Changelog Social RecapFlorianBruniaux/claude-code-ultimate-guide6.1k—~1.8kAutomated safety check: NotesCC-BY-SA-4.0

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Questions about Survey

What does Survey do?

Investigate a topic across papers, articles, social-media posts, and industry signals, then deliver an indexed Markdown report. Survey is an agent skill from mathbullet/skills. Investigate a topic across papers, articles, social-media posts, and industry signals, then deliver an indexed Markdown report.

When should I use Survey?

Survey fits situations like: the user asks to investigate; collect evidence; round up references; otherwise wants a thorough cross-source roundup on a specific topic.

How do I install Survey in Claude Code?

Run `npx skills add mathbullet/skills --skill survey -a claude-code`. Or copy the skill folder (plugins/survey/skills/survey in mathbullet/skills) into .claude/skills/survey in your project. Claude Code loads it when a task matches its description.

How do I install Survey in Codex?

Run `npx skills add mathbullet/skills --skill survey -a codex`. Or copy the skill folder (plugins/survey/skills/survey in mathbullet/skills) into .agents/skills/survey in your project. Codex loads it when a task matches its description.

Can I use Survey 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 mathbullet/skills --skill survey -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/survey, .gemini/skills/survey, .github/skills/survey and .opencode/skills/survey in your project.

What does Survey need to run?

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

Does Survey 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 Survey 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 Survey use?

Survey is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Survey use?

About 1.7k tokens (SKILL.md is roughly 6.6k 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 Survey?

Skills that share tags, products or a category with Survey: Social Content (freekmurze/dotfiles, 1k stars), Linkedin Marketing (sergebulaev/linkedin-skills, 4.3k stars), Linkedin Content Planner (sergebulaev/linkedin-skills, 4.3k stars) and Typefully (freekmurze/dotfiles, 1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Survey?

mathbullet (a GitHub user) maintains it in mathbullet/skills, which has 172 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on September 9, 2026.

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