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 hashtag-keyword-researchgit 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/hashtag-keyword-research)<a href="https://agentmods.dev/skills/azeemkafridi/bulkpublish-api/hashtag-keyword-research"><img src="https://agentmods.dev/badge/skills/azeemkafridi/bulkpublish-api/hashtag-keyword-research/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/hashtag-keyword-research"><img src="https://agentmods.dev/badge/skills/azeemkafridi/bulkpublish-api/hashtag-keyword-research.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 | $0.00195 |
| Opus 5 | $0.00013 | $0.00097 |
| Sonnet 5 | $0.00005 | $0.00039 |
| Haiku 4.5 | $0.00003 | $0.00019 |
Grade A, and why
hashtag-keyword-research 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 7d 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
Hashtag and Keyword Research
Build relevant, audience-oriented keyword and hashtag recommendations for content that will be published through BulkPublish.
Workflow
- Start with the topic, audience, intent, geography, platform targets, and campaign objective.
- Separate branded, topic, community, discovery, and campaign hashtags; avoid irrelevant or deceptive tags.
- Keep recommendations platform-specific and within each platform's caption or post limits.
- Return a reusable hashtag set plus a restrained set for each post, not a long undifferentiated list.
- Use
platform-content-adapterto place the selected terms naturally in each variant.
Before execution, check the target channels with manage-channels and prepare the final copy for BulkPublish platformContent or drafts. Do not claim search volume or trend status without a source.
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.
- 7d ago First seen · 19 lines · 26 tokens per session scan A 7056a72f5102
hashtag-keyword-research is a skill published in the GitHub repository azeemkafridi/bulkpublish-api (1 stars, last pushed today), licensed MIT. It adds 26 tokens to every session and 195 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 2026-09-04.
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