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 content-repurposinggit 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/content-repurposing)<a href="https://agentmods.dev/skills/azeemkafridi/bulkpublish-api/content-repurposing"><img src="https://agentmods.dev/badge/skills/azeemkafridi/bulkpublish-api/content-repurposing/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/content-repurposing"><img src="https://agentmods.dev/badge/skills/azeemkafridi/bulkpublish-api/content-repurposing.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 | $0.00026 | $0.00197 |
| Opus 5.5 | $0.00010 | $0.00079 |
| Sonnet 5.5 | $0.00005 | $0.00039 |
| Haiku 4.5 | $0.00003 | $0.00020 |
Grade A, and why
content-repurposing 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
Content Repurposing
Extract the source's durable ideas and create original, platform-native social posts without copying unsupported claims or excessive source text.
Workflow
- Identify the source's audience, key points, evidence, links, ownership, and desired outcome.
- Select a varied package of hooks, summaries, quotes, questions, carousels, short-form video concepts, and CTAs appropriate to the available assets.
- Adapt each item with
platform-content-adapter, preserving attribution and the canonical link where relevant. - Use
media-preflightfor any derived image or video plan. - Prepare the package as BulkPublish drafts, scheduled posts, or a CSV/API execution plan according to the user's request.
Do not fabricate quotations, transcript wording, statistics, or media that was not supplied.
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 · 19 lines · 26 tokens per session scan A 85837dd6b2e8
content-repurposing is a skill published in the GitHub repository azeemkafridi/bulkpublish-api (3 stars, last pushed yesterday), licensed MIT. It adds 26 tokens to every session and 197 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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