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 azeemkafridi/bulkpublish-api --skill platform-content-adaptergit clone --depth 1 https://github.com/azeemkafridi/bulkpublish-apiWrote 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/azeemkafridi/bulkpublish-api/platform-content-adapter)<a href="https://agentmods.dev/skills/azeemkafridi/bulkpublish-api/platform-content-adapter"><img src="https://agentmods.dev/badge/skills/azeemkafridi/bulkpublish-api/platform-content-adapter/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/azeemkafridi/bulkpublish-api/platform-content-adapter"><img src="https://agentmods.dev/badge/skills/azeemkafridi/bulkpublish-api/platform-content-adapter.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 | $0.00034 | $0.00210 |
| Opus 5.5 | $0.00014 | $0.00084 |
| Sonnet 5.5 | $0.00007 | $0.00042 |
| Haiku 4.5 | $0.00003 | $0.00021 |
Grade A, and why
platform-content-adapter 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 1mo 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
Platform Content Adapter
Create platform-native variants from a source message, campaign brief, article, transcript, or draft.
Requirements
- Preserve the factual claims, intended audience, brand voice, and primary CTA.
- Tailor the hook, length, structure, vocabulary, hashtags, and media treatment to each target platform.
- Consult
platform-referencebefore recommending a post type or media combination. - Use
platformContentwhen the variants will be published through one BulkPublish post. Keep the sharedcontentas a sensible fallback. - Include required platform fields such as YouTube and Pinterest titles, and exclude platforms whose media requirements are not met.
- Do not invent links, statistics, testimonials, product capabilities, or claims.
Return the adapted copy grouped by platform, with a short note for any omitted platform or required media/metadata.
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.
- 1mo ago First seen · 20 lines · 34 tokens per session scan A b0ca57f25ac5
platform-content-adapter is a skill published in the GitHub repository azeemkafridi/bulkpublish-api (3 stars, last pushed yesterday), licensed MIT. It adds 34 tokens to every session and 210 once invoked, about $0.0001 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 2026-09-04.
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