Agent skill

Influencer Discovery

by tigerless-labs in tigerless-labs/influencer-discovery

Find the bloggers/creators who can help promote your work, capture their contact info, and append them to the target sheet in Google Sheets.

No licenceAuto-check: notesMarketing & SEO

Install Influencer Discovery

skills CLI
$ npx skills add tigerless-labs/influencer-discovery --skill influencer-discovery -a claude-code

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

GitHub CLI
$ gh skill install tigerless-labs/influencer-discovery influencer-discovery --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/tigerless-labs/influencer-discovery.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/influencer-discovery .claude/skills/influencer-discovery && 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
influencer-discovery
GitHub stars
212
Token cost
~2.5k tokens
SKILL.md length
1,076 words
Files
85 (incl. scripts)
Skills in repo
1
Repo updated
First seen
Licence
None found

At a glance

Find the bloggers/creators who can help promote your work, capture their contact info, and append them to the target sheet in Google Sheets.

  • Works in 3 steps: How many — qualified-row count. → What "meets the requirements" means —… → What to prioritize — size, topic fit,…
  • Requests like find a batch of bloggers doing X
  • SKILL.md covers Who to find, Read these first, Run loop and Three things to nail down…, plus 6 more sections
  • Calls python3 and gcloud

What it does

Influencer Discovery is an agent skill from tigerless-labs/influencer-discovery. Find the bloggers/creators who can help promote your work, capture their contact info, and append them to the target sheet in Google Sheets. Targets must bring their own audience — followers, readers, subscribers; people building their own product are not targets. Use for requests like "find a batch of bloggers doing X", "top up the target sheet", "dig up contact info for these people", "how do I get emails on this platform". Covers X/Twitter, TikTok, Instagram, Threads, YouTube, Reddit, Mastodon, DEV.to…

Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 89 other files, including scripts (for example `reference/datalayer/index.md`, `reference/datalayer/instagram.md` and `reference/datalayer/linkedin.md`).

It sits in Marketing & SEO, covering Influencer and creator marketing, Excel spreadsheets and Newsletters. It works with Google Sheets, Instagram, Reddit and TikTok. The repository describes itself as: Influencer discovery & contact enrichment pipeline that runs as a Claude Code skill — 15 channels, stdlib only, appends to a Google Sheet.

When your agent uses it

  • Requests like find a batch of bloggers doing X
  • Top up the target sheet
  • Dig up contact info for these people
  • How do I get emails on this platform

Example prompts

  • “find a batch of bloggers doing X”
  • “top up the target sheet”
  • “dig up contact info for these people”
  • “/influencer-discovery”

Requirements

  • Python 3

Workflow steps

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

  1. How many — qualified-row count.
  2. What "meets the requirements" means — thresholds on topic, size, audience. Comparing yield across rounds requires comparing the thresholds…
  3. What to prioritize — size, topic fit, contact-capture success rate, platform diversity; weights are set at use time.

What it can do on your machine

Read from SKILL.md and the folder at commit 89a17be. 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

    Ships 1 file in scripts/, which the agent can run.

    Shell commands in SKILL.md call:

    • python3
    • gcloud

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

  • Network

    No URLs in SKILL.md. Its commands use gcloud, which can reach the network depending on how they are called.

    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

Influencer Discovery loads about 2.5k tokens when it runs. Until then it costs about 198 tokens; SKILL.md has 1,076 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~198
When it runs · the whole SKILL.md, loaded when a task matches
~2.5k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:88
    live in `~/.config/influencer-discovery/.env` (`chmod 600`); variable names in
  • NoteMentions a .env fileSKILL.md:90
    `~/.config/last30days/.env`. On a missing key, report the missing variable name — do not guess, do not fall back to anot
  • NoteMentions a .env fileSKILL.md:130
    ~/.config/influencer-discovery/.env              credentials + INFLUENCER_DISCOVERY_SPREADSHEET_ID (chmod 600)

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); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 1,076 words (~2,459 tokens).

“One sentence: hit the qualified-row count the user asked for, every row with contact info, not one row a duplicate.”

— opening of SKILL.md by tigerless-labs
name
influencer-discovery

Read the full SKILL.md on GitHub

Files

SKILL.md and 84 other files (scripts) in skills/influencer-discovery of tigerless-labs/influencer-discovery.

  • SKILL.md
  • config/channels.toml
  • config/shared_domains.toml
  • config/sheet.toml
  • config/topics.toml
  • reference/datalayer/index.md
  • reference/datalayer/instagram.md
  • reference/datalayer/linkedin.md
  • reference/datalayer/mastodon.md
  • reference/datalayer/providers.md
  • reference/datalayer/public.md
  • reference/datalayer/reddit.md
  • reference/datalayer/threads.md
  • reference/datalayer/tiktok.md
  • reference/datalayer/twitter-x.md
  • reference/methodology/1-social/instagram.md
  • … and 69 more

Open the folder on GitHubat commit 89a17be

Compare with similar skills

Influencer Discovery 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.

Influencer Discovery compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Influencer Discovery this skilltigerless-labs/influencer-discovery212—~2.5kAutomated safety check: NotesNone
Transcript IntelligenceScrapeCreators/social-media-research-skills3.4k—~943Automated safety check: NotesMIT
DropspaceLeoYeAI/openclaw-master-skills2.2k—~6.2kAutomated safety check: PassMIT
Google Social Media Finderbrowser-act/skills6.1k—~1.7kAutomated safety check: PassMIT
Audience Fit Checkunifapi-agent/agents589—~2.5kAutomated safety check: PassMIT
AI Social Media ContentNeverSight/learn-skills.dev2171 repos~1.8kAutomated safety check: PassNone

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  • Transcript Intelligence

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    3.4k GitHub stars~943 tokensUpdated 1 mo ago
    Marketing & SEOAuto-check: notes
  • Dropspace

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    2.2k GitHub stars~6.2k tokensUpdated 2 mo ago
    Writing & ContentAuto-check passed
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    6.1k GitHub stars~1.7k tokensUpdated 1 mo ago
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  • Audience Fit Check

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    When the user wants to vet a specific creator's audience fit and brand-safety before working with them.

    589 GitHub stars~2.5k tokensUpdated 1 mo ago
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Questions about Influencer Discovery

What does Influencer Discovery do?

Find the bloggers/creators who can help promote your work, capture their contact info, and append them to the target sheet in Google Sheets. Influencer Discovery is an agent skill from tigerless-labs/influencer-discovery. Find the bloggers/creators who can help promote your work, capture their contact info, and append them to the target sheet in Google Sheets.

When should I use Influencer Discovery?

Influencer Discovery fits situations like: requests like find a batch of bloggers doing X; top up the target sheet; dig up contact info for these people; how do I get emails on this platform.

How do I install Influencer Discovery in Claude Code?

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

How do I install Influencer Discovery in Codex?

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

Can I use Influencer Discovery 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 tigerless-labs/influencer-discovery --skill influencer-discovery -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/influencer-discovery, .gemini/skills/influencer-discovery, .github/skills/influencer-discovery and .opencode/skills/influencer-discovery in your project.

What does Influencer Discovery need to run?

Going by SKILL.md and its folder, Influencer Discovery needs the command-line tools its instructions call (python3 and gcloud). Our summary lists: Python 3.

Does Influencer Discovery 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 Influencer Discovery safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Influencer Discovery use?

No licence was found for Influencer Discovery or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Influencer Discovery use?

About 2.5k tokens (SKILL.md is roughly 9.8k 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 Influencer Discovery?

Skills that share tags, products or a category with Influencer Discovery: Transcript Intelligence (ScrapeCreators/social-media-research-skills, 3.4k stars), Dropspace (LeoYeAI/openclaw-master-skills, 2.2k stars), Google Social Media Finder (browser-act/skills, 6.1k stars) and Audience Fit Check (unifapi-agent/agents, 589 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Influencer Discovery?

tigerless-labs (a GitHub organization) maintains it in tigerless-labs/influencer-discovery, which has 212 GitHub stars. The repository was last updated on September 22, 2026.

Source: tigerless-labs/influencer-discovery on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.