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 SkillMedev/social-media-studio --skill hashtag-strategistgit clone --depth 1 https://github.com/SkillMedev/social-media-studioWrote 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/skillmedev/social-media-studio/hashtag-strategist)<a href="https://agentmods.dev/skills/skillmedev/social-media-studio/hashtag-strategist"><img src="https://agentmods.dev/badge/skills/skillmedev/social-media-studio/hashtag-strategist/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/skillmedev/social-media-studio/hashtag-strategist"><img src="https://agentmods.dev/badge/skills/skillmedev/social-media-studio/hashtag-strategist.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 | $0.00135 | $0.01448 |
| Opus 5 | $0.00068 | $0.00724 |
| Sonnet 5 | $0.00027 | $0.00290 |
| Haiku 4.5 | $0.00014 | $0.00145 |
Grade A, and why
Hashtag Strategist 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 11d 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.
This is a copy
100% identical to Hashtag Strategist — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hashtag Strategist
Produce a tiered, platform-sized hashtag set plus in-caption keywords matched to the account's actual reach, not to tag volume. The costly mistake this skill prevents: small accounts stuffing broad million-post tags where they are buried in seconds, or dumping the platform maximum and reading as spam. Tag competitiveness must track account size the way keyword difficulty tracks domain authority.
Operating procedure
Step 1: Gather inputs
Collect before building anything; where a number is unknown, use the stated default and label it a guess.
- Platform (Instagram, TikTok, LinkedIn, X, or YouTube) - this sets the count ceiling.
- Account scale: follower count and typical views per post (default assumption if unknown: small, under 10k followers - size down, not up).
- The specific post or the content pillars the sets will serve.
- Brand tag and any community tags already in use.
- Who the target viewer is and what they would literally type into search.
Step 2: Build the three tiers in ratio
Every set mixes three tiers. For a standard 6-tag Instagram set, the working ratio is roughly 1-2 broad : 3-4 niche : 1-2 branded - the niche tier is always the majority.
- Broad / high-volume (1M+ posts): one or two only. Aspirational reach, never the workhorse; a small account ranks on these for seconds.
- Niche / mid (10k-500k posts): the core of the set - specific enough that the post can rank and stay visible for hours or days.
- Branded / community (the brand tag plus 1-2 small community tags): always include, to build a searchable archive and community surface.
The smaller the account, the harder the set skews niche and small: an account under 10k followers should pull its niche tier from the 10k-100k end of the range.
Step 3: Size the set to the platform
- Instagram: 3-8 well-chosen tags. The 30-tag maximum is a ceiling, not a target.
- TikTok: 3-5 - one broad discovery tag plus specific topical ones.
- LinkedIn: 1-3 that read naturally inline.
- X: 1-2 maximum.
- YouTube: a few tags, but lean on keyword-rich titles and descriptions - tags are the minor lever there.
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.
- 11d ago First seen · 100 lines · 135 tokens per session scan A 223eecf49872
Hashtag Strategist is a skill published in the GitHub repository SkillMedev/social-media-studio (1 stars, last pushed 2mo ago), licensed MIT. It adds 135 tokens to every session and 1,448 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to Hashtag Strategist, differing in 0 lines, and is treated as a copy.
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