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 kakutixyz-ai/agent-publishing-skills --skill adapter-community-discussiongit clone --depth 1 https://github.com/kakutixyz-ai/agent-publishing-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/kakutixyz-ai/agent-publishing-skills/adapter-community-discussion)<a href="https://agentmods.dev/skills/kakutixyz-ai/agent-publishing-skills/adapter-community-discussion"><img src="https://agentmods.dev/badge/skills/kakutixyz-ai/agent-publishing-skills/adapter-community-discussion/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/kakutixyz-ai/agent-publishing-skills/adapter-community-discussion"><img src="https://agentmods.dev/badge/skills/kakutixyz-ai/agent-publishing-skills/adapter-community-discussion.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 | $0.00016 | $0.00430 |
| Opus 5 | $0.00008 | $0.00215 |
| Sonnet 5 | $0.00003 | $0.00086 |
| Haiku 4.5 | $0.00002 | $0.00043 |
Grade A, and why
adapter-community-discussion 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 12d 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 — 36 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Community Discussion Adapter
Use this adapter for platforms such as Hacker News, Reddit, Lobsters, V2EX, Stack Overflow discussion surfaces, GitHub Discussions, Indie Hackers, and similar communities.
Data Source Constraint
No internet search. All content must be generated from local sources only: the project brief, knowledge base, schemas, templates, and user-provided materials. Do not fetch or search external URLs.
Inputs
- A base draft matching
schemas/platform-draft.schema.json. - One platform profile from
knowledge/platforms/. knowledge/styles/community-post.md.
Process
- Extract platform constraints before writing: required language, title style, expected post length, accepted discussion type, tone, formatting, link rules, and banned behavior.
- Treat forum and community norms as hard constraints. If the profile expects a short factual link submission, do not write a full article. If it expects a support-style problem statement, do not write a launch announcement.
- Use a factual title that makes the technical or community value clear in the platform's preferred language and register.
- Keep the post concise unless the platform explicitly expects long form. Use the profile's paragraph and word-count cues when present.
- Include primary links only when they are provided by the brief: repository, demo, docs, benchmark, article, or reproducible example.
- Ask for specific feedback only when feedback is genuinely the purpose and the community accepts feedback posts.
- Remove vote requests, hype, cross-post boilerplate, sales copy, and signup-gated claims.
- Add limitations and context so the post can withstand skeptical replies.
- Follow platform-specific Markdown, BBCode, code-block, image, tag, and flair rules.
- Put a short
metadata.platform_constraints_appliedchecklist in the output covering language, length, tone, structure, and formatting.
Output
Return schemas/platform-draft.schema.json with platform set to the target platform slug.
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.
- 12d ago First seen · 36 lines · 16 tokens per session scan A 96228dccfb30
adapter-community-discussion is a skill published in the GitHub repository kakutixyz-ai/agent-publishing-skills (2 stars, last pushed 3mo ago), licensed MIT. It adds 16 tokens to every session and 430 once invoked, about $0.0001 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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