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 ilovekushgola/reelminner --skill reelminnergit clone --depth 1 https://github.com/ilovekushgola/reelminnerWrote 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/ilovekushgola/reelminner/reelminner)<a href="https://agentmods.dev/skills/ilovekushgola/reelminner/reelminner"><img src="https://agentmods.dev/badge/skills/ilovekushgola/reelminner/reelminner/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/ilovekushgola/reelminner/reelminner"><img src="https://agentmods.dev/badge/skills/ilovekushgola/reelminner/reelminner.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 | $0.00086 | $0.02328 |
| Opus 5.5 | $0.00034 | $0.00931 |
| Sonnet 5.5 | $0.00017 | $0.00466 |
| Haiku 4.5 | $0.00009 | $0.00233 |
Grade A, and why
reelminner 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 2mo 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 — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Instagram Reel Scraper
Scrape Instagram reels using the user's own logged-in session (cookies). Two phases: Phase 1 scrapes each reel (username, music, likes, status), Phase 2 (optional, default on) visits each owner's profile to fetch the followers count.
Prerequisites
storage_state.jsonin the project folder (created by logging in once via the GUI, or byimport_cookies). If missing, tools returnsession_ready: falseand every reel comes backsession_expired.- Playwright Chromium installed (
python -m playwright install chromium). - Respect rate limits: keep
delay >= 1,workers <= 3for large batches.
MCP Tools
scrape_reels
Signature: scrape_reels(urls: list[str], workers?: int = 2, delay?: float = 1.0, headless?: bool = true, with_profiles?: bool = true) -> dict
Scrapes the given reel URLs. Returns:
{
"results": [
{
"reel_url": "https://www.instagram.com/reel/ABC/",
"username": "shubham__travels",
"followers": "32K",
"music_title": "Dilbar (From \"Satyameva Jayate\")",
"music_artist": "Neha Kakkar",
"likes": "12,345",
"comments": "89",
"plays": "1.2M",
"status": "ok"
}
]
}
| Param | Type | Default | Notes |
|---|---|---|---|
urls |
list[str] |
— | Required. Full reel URLs (any Instagram URL form is normalized). |
workers |
int |
2 | Parallel browser windows, 1-8. Use 2-3 for big batches. |
delay |
float |
1.0 | Seconds between reels per worker. Raise to 2-3 on rate limits. |
headless |
bool |
true | Agents should keep true (no visible browsers). |
with_profiles |
bool |
true | Phase 2: fetch owner profile + followers. Adds time per reel. |
Status values: ok, timeout (retry already happened once), error,
session_expired (cookies stale — ask the user to re-login),
unavailable (deleted/private reel — expected).
Example call (via MCP client):
{
"urls": ["https://www.instagram.com/reel/ABC/", "https://www.instagram.com/reel/DEF/"],
"with_profiles": true,
"delay": 2
}
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.
- 2mo ago First seen · 205 lines · 86 tokens per session scan A 65293b4f59d7
reelminner is a skill published in the GitHub repository ilovekushgola/reelminner (1 stars, last pushed 2mo ago), licensed MIT. It adds 86 tokens to every session and 2,328 once invoked, about $0.0003 per session on Opus 5.5. 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.
reelminner compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| reelminnerilovekushgola/reelminner | Skill | 1 | 2mo ago | MIT | A | 86 | Claude Code, Codex |
| instagram-workflowwhypuss/ai-cdp-browser | Skill | 3 | 6mo ago | none | A | 51 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| playwright-component-testingmicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 69 | Claude Code, Codex |
| browsebrowserbase/stagehand | Skill | 26k | yesterday | MIT | A | 109 | Claude Code |
| agent-browserpaperclipai/paperclip | Skill | 112k | today | MIT | A | 40 | Claude Code, Codex |
| moli-webfetchlexmount/moli | Skill | 23k | yesterday | Apache-2.0 | A | 90 | Codex |