OPC Skills is a collection of reusable instruction folders, scripts, and resources that extend coding agents with specialized tasks for solopreneurs and one-person companies. Its skills cover areas such as search optimization, demand research, domain discovery, branding, social-media assets, and platform-specific research. The catalogue entries are the project's own skills, plugins, and hook.
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 ReScienceLab/opc-skills --skill producthuntgit clone --depth 1 https://github.com/ReScienceLab/opc-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/resciencelab/opc-skills/producthunt)<a href="https://agentmods.dev/skills/resciencelab/opc-skills/producthunt"><img src="https://agentmods.dev/badge/skills/resciencelab/opc-skills/producthunt.svg" alt="Measured on agentmods" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 12 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- medium Data Exfiltration · line 59 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 62 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00039 | $0.00465 |
| Opus 5 | $0.00019 | $0.00233 |
| Sonnet 5 | $0.00008 | $0.00093 |
| Haiku 4.5 | $0.00004 | $0.00047 |
Grade A, and why
producthunt 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.
What it actually says
ProductHunt Skill
Get posts, topics, users, and collections from Product Hunt via the official GraphQL API.
Prerequisites
Set access token in ~/.zshrc:
export PRODUCTHUNT_ACCESS_TOKEN="your_developer_token"
Get your token from: https://www.producthunt.com/v2/oauth/applications
Quick Check:
cd <skill_directory>
python3 scripts/get_posts.py --limit 3
Commands
All commands run from the skill directory.
Posts
python3 scripts/get_post.py chatgpt # Get post by slug
python3 scripts/get_post.py 12345 # Get post by ID
python3 scripts/get_posts.py --limit 20 # Today's featured posts
python3 scripts/get_posts.py --topic ai --limit 10 # Posts in topic
python3 scripts/get_posts.py --after 2026-01-01 # Posts after date
python3 scripts/get_post_comments.py POST_ID --limit 20
Topics
python3 scripts/get_topic.py artificial-intelligence # Get topic by slug
python3 scripts/get_topics.py --query "AI" --limit 20 # Search topics
python3 scripts/get_topics.py --limit 50 # Popular topics
Users
python3 scripts/get_user.py rrhoover # Get user by username
python3 scripts/get_user_posts.py rrhoover --limit 20 # User's posts
Collections
python3 scripts/get_collection.py SLUG_OR_ID # Get collection
python3 scripts/get_collections.py --featured --limit 20
API Info
- Endpoint: https://api.producthunt.com/v2/api/graphql
- Type: GraphQL
- Rate Limits: 6250 complexity points / 15 min
- Docs: https://api.producthunt.com/v2/docs
What ships with it
12 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.
- .claude-plugin/plugin.json 553 B
- scripts/credential.py 376 B runs code
- scripts/get_collection.py 2.1 KB runs code
- scripts/get_collections.py 2.0 KB runs code
- scripts/get_post_comments.py 1.7 KB runs code
- scripts/get_post.py 1.5 KB runs code
- scripts/get_posts.py 2.3 KB runs code
- scripts/get_topic.py 1.1 KB runs code
- scripts/get_topics.py 1.4 KB runs code
- scripts/get_user_posts.py 2.2 KB runs code
- scripts/get_user.py 1.2 KB runs code
- scripts/producthunt_api.py 6.5 KB runs code
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 · 63 lines · 39 tokens per session scan A 654e04b89eec
producthunt is a skill published in the GitHub repository ReScienceLab/opc-skills (1,763 stars, last pushed today), licensed Apache-2.0. It adds 39 tokens to every session and 465 once invoked, about $0.0002 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
context-okf-llm-ingest
Use when extracting a codebase's implementation decisions into Metatron with an LLM/agent instead of metatron ingest — authoring candidate decisions as Open Knowledge Format (OKF) markdown files locally for review.
context-okf-promote-candidates
Use when promoting reviewed Metatron candidate decisions to canonical in a git/CI flow — moving Open Knowledge Format (OKF) files from candidate/ to decisions/. The agent performs only human-named moves; it never decides what to promote.
clean-interface-design
Design clean, calm, uncluttered interfaces that don't read as templated AI output. Use when building or restyling any UI (web, iOS, Android, macOS) and it needs visual hierarchy, restraint, spacing discipline, one clear primary action, and a cohesive look. Covers accent color, whitespace, corner radius, type scale…
landing-page-conversion
Build or improve landing pages and marketing sites that convert, not just look good. Use when writing a hero, structuring a page, choosing a CTA, adding social proof, or diagnosing why a page isn't converting. Covers positioning, copy-first workflow, the above-the-fold contract, page narrative, CTAs, trust, and…
live-audit
Audit steam-games-mcp — build/test/lint gate, live MCP tool edge-case sweep (input validation, SteamID64/vanity/appid edge cases, key-gating), and source-level code review. Use when asked to test/audit the published or just-fixed steam-games-mcp package, hunt for bugs/edge cases, or repeat "the same kind of testing as…
prompt-check
Live-test every MCP Prompt in src/tools/prompts.ts through the real MCP protocol (not a static read) across every argument combination. Use when a prompt is added or its argument-handling logic changes, or as part of a live-audit pass.