Hashtag Strategist — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Hashtag Strategist (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
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.
Collect before building anything; where a number is unknown, use the stated default and label it a guess.
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.
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.
Recommend the literal search phrases a target viewer would type, woven naturally into the caption, on-screen text, or title/description. On search-surfaced platforms (TikTok, YouTube, increasingly Instagram) this is often higher-leverage than the tag list. Keep these as in-context phrases for THIS post; a standalone topic-clustered keyword map is keyword-cluster-builder's job.
Reject, with no exceptions:
Provide 2-3 interchangeable sets tied to content pillars so the account never posts an identical block, which platforms can read as automated.
Post: a 60-second Instagram Reel, "3 mobility drills for desk workers," from a physiotherapist account with 4,200 followers.
SET A (6 tags - 1 broad / 4 niche / 1 branded)
Broad: #mobility (2M+ posts - the one reach bet)
Niche: #deskstretches (~40k)
#mobilitydrills (~180k)
#deskworkerhealth (~15k)
#physioexercises (~90k)
Branded: #[FILL: brandname]moves
IN-CAPTION KEYWORDS (woven into the first two lines, not a list)
"mobility drills for desk workers", "fix desk posture",
"stretches you can do at your desk"
VETTED OUT
#fitfam (pod-adjacent, bot-heavy), #followforfollow (account-flag risk),
#stretching variant that surfaced unrelated spam in its top postsBad set for this account: #fitness #gym #health #workout #motivation #fitfam - six broad or polluted tags, zero chance of ranking, no archive value.
Produce a tag strategy containing: 2-3 rotating sets (each with tiers labeled and approximate post volumes), the in-caption keyword phrases for the post at hand, the vetted-out list with reasons, and the platform count rule applied.
A finished set ships only when: every tier is present and the niche tier is the majority; the count respects the platform ceiling; every tag has an approximate post volume attached and passed the vet; at least one in-caption keyword phrase set is delivered alongside the tags; and there are 2-3 rotating sets mapped to pillars, not one frozen block.
For writing the caption the tags attach to, route to social-caption-writer. For a standalone SEO keyword architecture, route to keyword-cluster-builder.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.