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 JasonColapietro/suede-creator-skills --skill suede-instagram-growthgit clone --depth 1 https://github.com/JasonColapietro/suede-creator-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/jasoncolapietro/suede-creator-skills/suede-instagram-growth)<a href="https://agentmods.dev/skills/jasoncolapietro/suede-creator-skills/suede-instagram-growth"><img src="https://agentmods.dev/badge/skills/jasoncolapietro/suede-creator-skills/suede-instagram-growth/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/jasoncolapietro/suede-creator-skills/suede-instagram-growth"><img src="https://agentmods.dev/badge/skills/jasoncolapietro/suede-creator-skills/suede-instagram-growth.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 | $0.00146 | $0.03692 |
| Opus 5 | $0.00073 | $0.01846 |
| Sonnet 5 | $0.00029 | $0.00738 |
| Haiku 4.5 | $0.00015 | $0.00369 |
Grade A, and why
suede-instagram-growth 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 13d 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 — 382 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Suede Instagram Growth
Turn one Instagram account into an evidence-backed content and conversion system. Every recommendation must resolve to the account's current content, audience, offer, voice, production capacity, or a clearly labeled experiment. Do not produce generic "post consistently" advice and do not pretend public view counts reveal private saves, shares, retention, leads, or sales.
Red Flags — Correct These First
- "Lock this context forever." Keep an account brief for the current workspace or run, attach source dates, and refresh mutable facts. Never claim permanent memory.
- "Browse the last 30 posts automatically." Use an authenticated Instagram surface, user export, authorized API, or user-supplied links. Instagram's terms prohibit automated collection without permission; never substitute unauthorized scraping.
- "This went viral, so it converts." Views are attention. Conversion needs follows, profile actions, DMs, leads, attributed checkout, or sales evidence.
- "Use 15 hashtags and the best posting time." Hashtag count, timing, format, and cadence are account-level tests. Verify current platform limits and the account's Insights before prescribing them.
- "Run the daily workflow" means publish. It means refresh evidence and prepare approval-ready candidates. Publishing is a separate authorized step.
Operating Contract
1. Read existing context before asking
Read .agents/product-marketing.md, .claude/product-marketing.md, or the
legacy product-marketing-context.md when present. Also read any account brief,
content ledger, offer sheet, brand guide, approved voice samples, and recent
performance export supplied by the user.
Build or refresh this Account Evidence Pack:
Handle and visible identity:
Account type: personal | creator | business | unknown
Objective: awareness | qualified followers | leads | sales | community
Primary audience:
Offer, price, and conversion path:
Voice samples and source dates:
Faceless preference and available media:
Current cadence and production capacity:
Timezone and follower-active windows:
Recent-post evidence source and coverage:
Attribution source: none | Insights | links/UTMs | CRM | checkout | mixed
Claims or topics requiring review:
Last refreshed:
Unknowns that affect confidence:
What ships with it
7 files 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.
- 13d ago First seen · 382 lines · 146 tokens per session scan A cf250b9aac4b
suede-instagram-growth is a skill published in the GitHub repository JasonColapietro/suede-creator-skills (135 stars, last pushed today), licensed MIT. It adds 146 tokens to every session and 3,692 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.
Other skills, from other repositories
skill-router
Use when a [skill-router] route card appears in the turn, when no card appeared on a non-trivial task, or when a route looks wrong. Routes every prompt to the right installed skill, pairs it with a process skill, tiers enforcement, and briefs sub-agents. 79 local skills + plugin skills indexed.
generate-report
Generate a comprehensive summary report of the latest experiment including metrics, plots, and comparison with baseline. Use this after training and evaluation to create a shareable experiment summary.
evaluate-model
Load the latest model checkpoint, run evaluation on the test set, and generate a metrics report with confusion matrix. Use this after training to assess model performance or to re-evaluate a specific checkpoint.
run-pipeline
Run the full data science pipeline: validate raw data, preprocess, engineer features, train model, and evaluate. Use this when you want to execute the end-to-end ML pipeline or re-run it after data or code changes.
api-test
Run API integration tests against the running backend, verify endpoints return expected responses and status codes. Use after deploying a preview or starting the dev server.
run-simulator
Build and launch the app in the iOS Simulator. Automatically selects an appropriate simulator device, boots it if needed, and installs and launches the app.