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 agentmods add skills/dancolta/subscope/op-vetnpx skills add dancolta/subscope --skill op-vetgit clone --depth 1 https://github.com/dancolta/subscopeWrote 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/dancolta/subscope/op-vet)<a href="https://agentmods.dev/skills/dancolta/subscope/op-vet"><img src="https://agentmods.dev/badge/skills/dancolta/subscope/op-vet.svg" alt="Measured on agentmods" 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 | $0.00105 | $0.00456 |
| Opus 5 | $0.00053 | $0.00228 |
| Sonnet 5 | $0.00021 | $0.00091 |
| Haiku 4.5 | $0.00011 | $0.00046 |
Grade A, and why
subscope-op-vet scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
/subscope-op-vet (utility, one-shot)
Score a single Reddit user's profile. Used BEFORE drafting a reply when you want to confirm OP is a real operator.
cd "$CLAUDE_PLUGIN_ROOT" && PYTHONPATH=engine python3 -m subscope.cli op-vet "$USERNAME"
Engine returns JSON:
{
"verdict": "pass" | "fail",
"reason": null | "account_too_young" | "low_karma" | "wrong_audience" | "deleted_or_private" | "fetch_failed",
"comment_karma": 542,
"account_age_days": 730,
"wrong_audience_fraction": 0.12,
"from_cache": false
}
Translate to a human-readable verdict in chat:
| Verdict | reason | Show |
|---|---|---|
| pass | (none) | GO — real operator profile |
| pass | fetch_failed | HOLD — couldn't read profile, decide manually |
| fail | account_too_young | SKIP — account <30d old |
| fail | low_karma | SKIP — comment karma < 50 |
| fail | wrong_audience | SKIP — >80% in hustle-bro subs |
| fail | deleted_or_private | SKIP — account gone or shadowbanned |
The 7-day SQLite cache means repeat lookups of the same OP are free. No need to vet manually — the daily run already vets every OP it surfaces (per Phase 1.5).
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.
- 4d ago First seen · 40 lines · 105 tokens per session scan A 4350660aad85
subscope-op-vet is a skill published in the GitHub repository dancolta/subscope (25 stars, last pushed 23d ago), licensed MIT. It adds 105 tokens to every session and 456 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 2026-08-30.
Other skills, from other repositories
reddit-api
A Reddit API alternative on fetcher.sh — pay-per-call in USDC via x402, or prepaid credits with a Bearer key, no OAuth app registration. Use when the user wants to search Reddit posts across every subreddit by keyword and sort by top, hot, new, or most-discussed, search subreddits or users by keyword, fetch a…
xpoz-social-tracking
Set up and manage continuous social media tracking across Twitter, Instagram, Reddit, and TikTok. Add, remove, and view tracked keywords, users, subreddits, and hashtags. Use when asked to track mentions, monitor brands, set up tracking, view tracked items, or stop tracking.
social-sentiment
Sentiment analysis for brands and products across Twitter, Reddit, and Instagram. Monitor public opinion, track brand reputation, detect PR crises, surface complaints and praise at scale: analyze 70K+ posts with bulk CSV export and Python/pandas. Social listening and brand monitoring powered by billions of indexed…
mission-control
Interact with Mission Control — AI agent orchestration dashboard. Use when registering agents, managing tasks, syncing skills, or querying agent/task status via MC APIs.
codemark
Manage structural code bookmarks that survive refactoring. Use when the user says "remember this", "bookmark this", "save this location", "load my bookmarks", "what do I have bookmarked", "mark this code", "codemark", or when starting a new session and needing to reload context from a previous session. Also use…
docmancer
Work from the same local memory as every other coding agent on this machine. Recall prior decisions, preferences, instructions, and project conventions that Claude Code, Codex, Cursor, and other agents wrote here, with cited sources, fully local. Also searches a separate local technical-documentation index.