Agent skill

Threads

by unifapi-agent in unifapi-agent/agents

When a workflow needs public Threads (Meta) data through UnifAPI — recent and top post search on a term, profiles, or a handle's posts, replies, and reposts.

MITAuto-check passedMarketing & SEO

Install Threads

skills CLI
$ npx skills add unifapi-agent/agents --skill threads -a claude-code

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

GitHub CLI
$ gh skill install unifapi-agent/agents threads --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/unifapi-agent/agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/threads-agent/threads .claude/skills/threads && 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
threads
GitHub stars
586
Token cost
~1.3k tokens
SKILL.md length
505 words
Files
2
Skills in repo
47
Repo updated
First seen
Licence
MIT

At a glance

When a workflow needs public Threads (Meta) data through UnifAPI — recent and top post search on a term, profiles, or a handle's posts, replies, and reposts.

  • Works in 5 steps: Set the term. For brand or category… → Find handles. Call… → Read a profile's activity. Call… → …
  • Tasks that involve Social media marketing
  • SKILL.md covers Use the unifapi skill for live…, Response contract, Core operations and Workflow, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Threads is an agent skill from unifapi-agent/agents. When a workflow needs public Threads (Meta) data through UnifAPI — recent and top post search on a term, profiles, or a handle's posts, replies, and reposts. Also use on "what's being said on Threads about," "newest vs top Threads posts," "Threads profile for," or when another skill (social listening, content opportunity) needs the deterministic Threads read path. Connect via the unifapi skill first. Read-only research, never posts.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `README.md`).

It sits in Marketing & SEO, covering Social media marketing. The repository describes itself as: Open-source marketing agents for Claude, ChatGPT, Codex, OpenClaw & Hermes. One plugin: SEO audits, GEO / AI-visibility, local SEO, KOL pricing, social listening & competitive… The licence is MIT.

When your agent uses it

  • Tasks that involve Social media marketing

Example prompts

  • “s posts, replies, and reposts. Also use on”
  • “s being said on Threads about,”
  • “newest vs top Threads posts,”
  • “/threads”

Workflow steps

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

  1. Set the term. For brand or category listening, call
  2. Find handles. Call threads/search/profiles?q=... to surface accounts on
  3. Read a profile's activity. Call threads/users/{username}/posts,
  4. Cluster takes. Group text across the recent and top results into
  5. Cite everything. Every quote ties back to its post or profile; report

What it can do on your machine

Read from SKILL.md and the folder at commit fb53247. 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 json and markdown).

    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

Threads loads about 1.3k tokens when it runs. Until then it costs about 112 tokens; SKILL.md has 505 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~112
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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 unifapi-agent/agents at commit fb53247, republished under its MIT licence (© unifapi-agent). 505 words, ~1,305 tokens.

Download SKILL.mdSave it as .claude/skills/threads/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
threads
description
When a workflow needs public Threads (Meta) data through UnifAPI — recent and top post search on a term, profiles, or a handle's posts, replies, and reposts. Also use on "what's being said on Threads about," "newest vs top Threads posts," "Threads profile for," or when another skill (social listening, content opportunity) needs the deterministic Threads read path. Connect via the `unifapi` skill first. Read-only research, never posts.
license
MIT
metadata.author
UnifAPI
metadata.version
1.0.0
metadata.homepage
https://unifapi.com/agents/threads
metadata.source
https://github.com/unifapi-agent/agents

threads

The deterministic read path for public Threads (Meta) data through UnifAPI. This is a Data Skill: it does not run a marketing job on its own — it names the concrete threads/... operations, response shapes, and gotchas so any text-first listening or content workflow reads from one known recipe instead of rediscovering the surface each time.

Read-only — eyes, not hands. It researches public Threads data and returns cited records; it never posts or replies, and UnifAPI never holds Threads credentials.

Use the unifapi skill for live evidence

Connect once through the shared unifapi skill (OAuth MCP), then call the operations below. Profiles are keyed by {username}. Keep any billing metadata so the output can state record cost.

Response contract

Single-entity endpoints return the object in data:

json
{
  "request_id": "unif_...",
  "data": {},
  "billing": { "records_charged": 1, "balance_remaining": 99 }
}

List endpoints return an array in data plus pagination:

json
{
  "request_id": "unif_...",
  "data": [],
  "pagination": { "has_more": false, "next_cursor": null },
  "billing": { "records_charged": 1 }
}

When pagination.has_more is true, pass pagination.next_cursor as the next request's cursor. Always preserve billing when reporting cost.

Core operations

NeedOperation
Newest posts on a termthreads/search/recent (?q=...)
Most-seen posts on a termthreads/search/top (?q=...)
Profiles on a termthreads/search/profiles (?q=...)
Profile by handlethreads/users/{username}
A handle's poststhreads/users/{username}/posts
A handle's repliesthreads/users/{username}/replies
A handle's repoststhreads/users/{username}/reposts

Need a field not listed here? Use the unifapi skill's get_operation to read the exact schema before calling — but pick the operation from this table, don't discover blind.

Workflow

The deterministic recipes. Pick the one that matches the job; each names exactly what to call.

  1. Set the term. For brand or category listening, call threads/search/recent?q=... (newest) and threads/search/top?q=... (most-seen) together — recent catches the live conversation, top catches the takes that actually spread. Page via next_cursor.
  2. Find handles. Call threads/search/profiles?q=... to surface accounts on the term, then threads/users/{username} for follower size and biography.
  3. Read a profile's activity. Call threads/users/{username}/posts, .../replies, and .../reposts for what a handle says, answers, and amplifies.
  4. Cluster takes. Group text across the recent and top results into questions and opinions; like_count ranks which takes resonate.
  5. Cite everything. Every quote ties back to its post or profile; report billing.records_charged (or estimate when billing metadata is absent).
Show full SKILL.md (160 more words)Show less

Shape notes

  • ThreadsUser — keyed by {username}. full_name, biography, follower_count, is_verified, is_private.
  • ThreadsPost — code (the URL segment), text, taken_at, like_count, image_url, video_url, user.

Gotchas

  • search/recent is the newest and search/top is the most-seen — use both for a balanced read; either alone skews recency or popularity.
  • Posts expose like_count only — there are no reply/repost counts on the post object. Gauge spread from the search/top ranking, not a repost number.
  • A private handle (is_private) limits what you can read — surface it.
  • A low balance can silently truncate list pages: check billing.truncated_due_to_balance — when true the page is partial.

Output

Return the records the calling workflow needs, each cited to its post or profile, plus a one-line cost note (records_charged). When this skill is used directly, a compact listening brief is the default:

markdown
**"{term}" on Threads** — {N} recent / {N} top posts. Takes: {themes}. Loudest: "{quote}" ({likes} likes, by @handle). Evidence: {post URLs}. Records: ~{N}.
  • social-listening-brief (Social Listening), content-opportunity-brief (Content Strategy) — listening and content-idea work on top of this read path.
  • unifapi — the shared data skill: connect MCP and look up exact schemas with get_operation.

© unifapi-agent, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/threads-agent/threads of unifapi-agent/agents.

  • SKILL.md
  • README.md

Open the folder on GitHubat commit fb53247

Compare with similar skills

Threads 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.

Threads compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Threads this skillunifapi-agent/agents586—~1.3kAutomated safety check: PassMIT
Instagram Marketingsergebulaev/instagram-skills292—~1.9kAutomated safety check: NotesMIT
Getxapi ConnectLeoYeAI/openclaw-marketing-skills1k1 repos~715Automated safety check: PassCustom licence
Reddit Competitor Analysis API Skillbrowser-act/skills6.1k2 repos~1.7kAutomated safety check: PassMIT
Content Traffic and Value Diagnosisdontbesilent2025/dbskill10k—~1.5kAutomated safety check: PassCustom licence
Xiaohongshu Title Formula Matcherdontbesilent2025/dbskill10k1 repos~3.4kAutomated safety check: PassCustom licence

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Categories

Questions about Threads

What does Threads do?

When a workflow needs public Threads (Meta) data through UnifAPI — recent and top post search on a term, profiles, or a handle's posts, replies, and reposts. Threads is an agent skill from unifapi-agent/agents. When a workflow needs public Threads (Meta) data through UnifAPI — recent and top post search on a term, profiles, or a handle's posts, replies, and reposts.

When should I use Threads?

Threads fits situations like: tasks that involve Social media marketing.

How do I install Threads in Claude Code?

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

How do I install Threads in Codex?

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

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

What does Threads need to run?

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

Does Threads 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 Threads 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 Threads use?

Threads is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Threads use?

About 1.3k tokens (SKILL.md is roughly 5.2k 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 Threads?

Skills that share tags, products or a category with Threads: Instagram Marketing (sergebulaev/instagram-skills, 292 stars), Getxapi Connect (LeoYeAI/openclaw-marketing-skills, 1k stars), Reddit Competitor Analysis API Skill (browser-act/skills, 6.1k stars) and Content Traffic and Value Diagnosis (dontbesilent2025/dbskill, 10k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Threads?

unifapi-agent (a GitHub organization) maintains it in unifapi-agent/agents, which has 586 GitHub stars. The repository holds 47 skills in this directory. The repository was last updated on September 5, 2026.

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