performance-report

performance-report is a skill for Claude Code from peturgeorgievv-factory/postfast-mcp. It costs 81 tokens per session (846 once invoked), scanned A, original, MIT.

A reporting skill that reads PostFast social media data and summarizes reach, engagement, follower growth, and post performance. It compares networks and identifies stronger and weaker posts.

In plain words
What is it for?
Use it for weekly or monthly performance reports, follower trends, best- and worst-performing posts, and decisions about what to publish more often.
Why use it?
It turns scattered social media measurements into a readable account of what worked and what changed over a chosen period.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the postfast plugin — 5 skills, 1 MCP server shipped together

Good fit Use it for weekly or monthly performance reports, follower trends, best- and worst-performing posts, and decisions about what to publish more often.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/peturgeorgievv-factory/postfast-mcp/performance-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 peturgeorgievv-factory/postfast-mcp --skill performance-report
Clone the repo
git clone --depth 1 https://github.com/peturgeorgievv-factory/postfast-mcp

Made for: Claude Code.

Or install postfast, the plugin that ships this one along with the rest of its 5 skills, 1 MCP server.

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 performance-report

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/peturgeorgievv-factory/postfast-mcp/performance-report"><img src="https://agentmods.dev/badge/skills/peturgeorgievv-factory/postfast-mcp/performance-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 846 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 $0.00081 $0.00846
Opus 5.5 $0.00032 $0.00338
Sonnet 5.5 $0.00016 $0.00169
Haiku 4.5 $0.00008 $0.00085

Measured 1mo ago against content hash 7f30e6f32d43, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

performance-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 1mo 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.

plugins/postfast/skills/performance-report/SKILL.md · 40 lines

How it starts

The opening of the file, as written. The whole thing — 40 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Report social media performance with PostFast

This skill only reads. It never creates, approves or deletes anything.

Steps

1. Set the scope

  • Workspace: if list_workspaces shows more than one, ask which, and pass its id as workspaceId on every call.
  • Period: use the period the user names. "Last week" means the previous Monday to Sunday in the user's time zone; with no period given, use the last 7 full days. State the dates you used. For a trend, also fetch the period of the same length just before it.
  • Accounts: list_accounts gives each account's platform, platformUsername and current followerCount.

2. Fetch the numbers

  • Posts: get_post_analytics with startDate and endDate (ISO 8601), and platforms or socialMediaIds to narrow it. It returns published posts with their latestMetric (impressions, reach, likes, comments, shares, total interactions) and network-specific extras; videos add views and watch time, and Instagram adds saveRate, and reelsSkipRate on Reels. There is no paging, so ask for a month at most at a time.
  • Followers: get_follower_history for each account, with from and to. It returns currentFollowerCount, the change over the period (delta) and daily points. Tracking starts when PostFast first recorded the account (trackingStartedAt), so there is nothing before that date.
  • What went out: optionally, list_posts with statuses PUBLISHED and FAILED and the same from and to, to count the posts published and the ones that failed.

Numbers come back as strings: convert them before you add or compare them. A post whose latestMetric is null has no metrics yet; count it but leave it out of averages.

3. Know the coverage

  • Post analytics cover Instagram, Facebook, TikTok, Threads, YouTube, LinkedIn company pages and Pinterest business accounts. X, Bluesky, Telegram, Google Business Profile and LinkedIn personal profiles have no post analytics here; say so instead of reporting zeros.
  • Follower history covers Facebook Pages, Instagram, YouTube, Pinterest, Threads, Bluesky, Telegram, LinkedIn company pages and TikTok, not X or personal Facebook profiles.

Read the full file on GitHub · 40 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. 1mo ago First seen · 40 lines · 81 tokens per session scan A 7f30e6f32d43

Subscribe to this mod's changes

performance-report is a skill published in the GitHub repository peturgeorgievv-factory/postfast-mcp (7 stars, last pushed 2d ago), licensed MIT. It adds 81 tokens to every session and 846 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 2026-09-27.

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