Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Buzzmatic/awesome-agent-skills --skill brightdata-indeedgit clone --depth 1 https://github.com/Buzzmatic/awesome-agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/buzzmatic/awesome-agent-skills/brightdata-indeed)<a href="https://agentmods.dev/skills/buzzmatic/awesome-agent-skills/brightdata-indeed"><img src="https://agentmods.dev/badge/skills/buzzmatic/awesome-agent-skills/brightdata-indeed/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/buzzmatic/awesome-agent-skills/brightdata-indeed"><img src="https://agentmods.dev/badge/skills/buzzmatic/awesome-agent-skills/brightdata-indeed.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00095 | $0.02101 |
| Opus 5 | $0.00048 | $0.01051 |
| Sonnet 5 | $0.00019 | $0.00420 |
| Haiku 4.5 | $0.00010 | $0.00210 |
Grade A, and why
brightdata-indeed scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 298 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BrightData Indeed Scraper
Indeed data collection using BrightData's Datasets API. All operations save results to disk and return summaries to context.
Quick Start
Single Job Listing:
python skills/brightdata-indeed/scripts/fetch.py \
--endpoint jobs \
--input "https://www.indeed.com/viewjob?jk=a4d97fa27223cc84"
Job Search by Keyword:
python skills/brightdata-indeed/scripts/fetch.py \
--endpoint jobs-search \
--country US \
--domain indeed.com \
--keyword "software engineer" \
--location "New York, NY"
Company Profile:
python skills/brightdata-indeed/scripts/fetch.py \
--endpoint companies \
--input "https://www.indeed.com/cmp/Google"
Available Endpoints
Job Listings (Dataset: gd_l4dx9j9sscpvs7no2)
| Endpoint | Input Type | Description |
|---|---|---|
jobs |
Job URLs | Collect job listing details by URL |
jobs-search |
Keyword + Location | Discover jobs by search criteria |
jobs-by-company |
Company Jobs URLs | Discover jobs from company pages |
Company Info (Dataset: gd_l7qekxkv2i7ve6hx1s)
| Endpoint | Input Type | Description |
|---|---|---|
companies |
Company URLs | Collect company profile data |
companies-list |
Browse URLs | Discover companies from browse pages |
companies-industry |
Industry + State | Discover companies by industry/state |
companies-search |
Keyword | Search companies by keyword |
Parameters
Common Parameters
| Parameter | Required | Default | Description |
|---|---|---|---|
--endpoint |
Yes | - | Endpoint type (see tables above) |
--input |
Conditional | - | URL or path to batch file |
--batch |
No | false | Enable batch mode for file inputs |
--mode |
No | sync | API mode: sync or async |
Job Search Parameters (jobs-search)
| Parameter | Required | Description |
|---|---|---|
--country |
Yes | Country code (US, DE, FR, etc.) |
--domain |
Yes | Indeed domain (indeed.com, fr.indeed.com) |
--keyword |
No | Search keyword (e.g., "software engineer") |
--location |
No | Location (e.g., "New York, NY") |
--date-posted |
No | Date filter (Last 24 hours, Last 7 days) |
--posted-by |
No | Posted by filter |
--location-radius |
No | Location radius |
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 298 lines · 95 tokens per session scan A 470e70dd48fb
brightdata-indeed is a skill published in the GitHub repository Buzzmatic/awesome-agent-skills (1 stars, last pushed 2mo ago), licensed MIT. It adds 95 tokens to every session and 2,101 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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