instagram-weekly-report

instagram-weekly-report is a skill for Claude Code, Codex from IvanBBaev/instagram-mcp. It costs 66 tokens per session (735 once invoked), scanned A, original, MIT.

A read-only workflow that writes a performance report for an Instagram professional account over a chosen period of up to 30 days. Instagram is a social network, and the report covers account insights, recent posts, and each post's results.

In plain words
What is it for?
It is for reviewing views, reach, interactions, followers, and other available account or post metrics, then receiving suggestions based on the results.
Why use it?
It turns account and post measurements into one period-based report and distinguishes unavailable measurements from zero values.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It is for reviewing views, reach, interactions, followers, and other available account or post metrics, then receiving suggestions based on the results.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ivanbbaev/instagram-mcp/instagram-weekly-report
Install

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.

Any agent
npx skills add IvanBBaev/instagram-mcp --skill instagram-weekly-report
Clone the repo
git clone --depth 1 https://github.com/IvanBBaev/instagram-mcp

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for instagram-weekly-report

README.md
[![agentmods](https://agentmods.dev/badge/skills/ivanbbaev/instagram-mcp/instagram-weekly-report/github.svg)](https://agentmods.dev/skills/ivanbbaev/instagram-mcp/instagram-weekly-report)
Your own site
<a href="https://agentmods.dev/skills/ivanbbaev/instagram-mcp/instagram-weekly-report"><img src="https://agentmods.dev/badge/skills/ivanbbaev/instagram-mcp/instagram-weekly-report/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.

agentmods 80×15 button for instagram-weekly-report

Your own site · 80×15
<a href="https://agentmods.dev/skills/ivanbbaev/instagram-mcp/instagram-weekly-report"><img src="https://agentmods.dev/badge/skills/ivanbbaev/instagram-mcp/instagram-weekly-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 735 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00066 $0.00735
Opus 5.5 $0.00026 $0.00294
Sonnet 5.5 $0.00013 $0.00147
Haiku 4.5 $0.00007 $0.00073

Measured 9d ago against content hash 4a02b9c7255b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

instagram-weekly-report 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 9d 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.

skills/instagram-weekly-report/SKILL.md · 60 lines

How it starts

The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Instagram performance report

A read-only workflow over this server's account, media and insights tools. It never publishes, comments, replies, hides or deletes anything.

Inputs

  • Period: the number of days to cover, 1-30. Default 7 when the user does not say.
  • Account: a configured account profile name. When the user names one, pass account: "<name>" in every tool call; otherwise omit account and the default profile is used.

Steps

  1. Call instagram_get_account for the account name, username and follower count. Put them in the report heading.
  2. Work out the period as Unix seconds: until is now, since is until minus the period in days times 86400. Instagram keeps 90 days of insights, so a period of 30 days or less is always inside the window.
  3. Call instagram_get_account_insights with since and until. Leave metrics out to get the default post-2025 set (views, reach, accounts_engaged, total_interactions, likes, comments, shares, saves, replies, follows_and_unfollows, profile_links_taps). A metric listed in missingMetrics had no data: it is absent, not zero, so say so instead of reporting 0.
  4. Call instagram_list_media. It returns the newest media first, one page by default. Keep the items whose timestamp falls inside the period. If every item on the page is inside the period and paging.after is present, call it again with after set to that cursor until an item older than the period appears.
  5. For each post kept in step 4, call instagram_get_media_insights with media_id set to the item's id. Pass media_product_type (FEED or REELS) when the media item carries it, so the right default metric set is used.
  6. Write the report:
    • headline account metrics for the period, with the follower count;
    • a table of the period's posts: date, type, a short caption excerpt, views, reach, likes, comments, saves, shares;
    • the best and the weakest post, and what sets them apart;
    • two or three concrete, specific suggestions for the next period.

Read the full file on GitHub · 60 lines

Changes

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.

  1. 9d ago First seen · 60 lines · 66 tokens per session scan A 4a02b9c7255b

Subscribe to this mod's changes

instagram-weekly-report is a skill published in the GitHub repository IvanBBaev/instagram-mcp (7 stars, last pushed 8d ago), licensed MIT. It adds 66 tokens to every session and 735 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-10-28.

Related

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