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 sergebulaev/instagram-skills --skill ig-hashtag-strategistgit clone --depth 1 https://github.com/sergebulaev/instagram-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/sergebulaev/instagram-skills/ig-hashtag-strategist)<a href="https://agentmods.dev/skills/sergebulaev/instagram-skills/ig-hashtag-strategist"><img src="https://agentmods.dev/badge/skills/sergebulaev/instagram-skills/ig-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/sergebulaev/instagram-skills/ig-hashtag-strategist"><img src="https://agentmods.dev/badge/skills/sergebulaev/instagram-skills/ig-hashtag-strategist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00138 | $0.01176 |
| Opus 5 | $0.00069 | $0.00588 |
| Sonnet 5 | $0.00028 | $0.00235 |
| Haiku 4.5 | $0.00014 | $0.00118 |
Grade A, and why
ig-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 2d 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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Instagram Hashtag Strategist
Pick 3-5 hashtags that actually help, sized so the post can rank. The 30-tag wall is dead: in 2026 hashtags work as topic labels, and a small account ranks in niche tags, not in million-post broad ones. This skill builds the sized set.
When to use
- User has a caption, carousel, or Reel and needs hashtags
- User is still posting 20-30 generic tags and wants the 2026 approach
- User wants tags sized to where their account can actually rank
The model: size, not volume
A tag's size is its total post count. The strategy is a mix so the post ranks in the small tags while touching the bigger ones.
| Tier | Post count | Role | Use |
|---|---|---|---|
| Niche | under 50k | where a small/mid account can actually rank for hours | 2-3 |
| Mid | 50k - 500k | enough audience, beatable competition | 1-2 |
| Broad | 500k+ | a brief category-label touch, ranks for minutes | 0-1 |
Default: 3-5 total. Full reasoning in ../../references/hashtag-strategy.md.
Steps
- Get the post. The caption, carousel topic, or Reel subject, plus the target audience and the account's rough size (so the niche/mid split fits).
- Extract topics. Pull the 3-5 real topics the post is about (the subject, the niche community, the format, the outcome).
- Generate candidates per tier. For each topic, propose niche, mid, and
broad candidates. Niche tags are specific and long-tail
(
#notionforfreelancers); broad tags are single common words (#marketing). - Size each candidate. Estimate the tier from specificity (the API does not
expose counts, so use judgment and tell the user to verify counts in the app's
search). Flag any obviously generic or flag-prone tags
(
#follow4follow,#like4like) to drop. - Assemble the set. 2-3 niche + 1-2 mid + 0-1 broad, total 3-5. Drop the broad slot if nothing genuinely fits. Every tag must match the content.
- Check the match. Reject any tag that is popular but off-topic; a mismatch mistrains the recommendation engine and lowers reach.
- Rotate. Tell the user to vary the set per topic, not reuse one block on every post (identical sets across many posts read as automation).
- Output. The 3-5 set, each tagged with its tier and a one-line why, plus placement guidance (end of caption or first comment).
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2d ago Changed 07dafa7511c1
- 12d ago First seen · 97 lines · 138 tokens per session scan A 94c9010a7a7a
ig-hashtag-strategist is a skill published in the GitHub repository sergebulaev/instagram-skills (55 stars, last pushed 3d ago), licensed MIT. It adds 138 tokens to every session and 1,176 once invoked, about $0.0007 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 2026-08-30.
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