cross-client-metrics-overview

cross-client-metrics-overview is a skill for Claude Code from seranking-planable/smm-skills. It costs 124 tokens per session (1,096 once invoked), scanned A, original, MIT.

A comparison view for social media results across several Planable workspaces, such as different clients or brands. It can rank them by measures such as engagement rate, views, published posts, or audience growth.

In plain words
What is it for?
Use it for agency-wide reporting, finding the strongest and weakest accounts, and spotting clients that need attention.
Why use it?
It removes the need to open each client account separately to understand overall performance.

Skill for Claude Code

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

Part of the planable-smm plugin — 12 skills, 1 MCP server shipped together

Good fit Use it for agency-wide reporting, finding the strongest and weakest accounts, and spotting clients that need attention.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/seranking-planable/smm-skills/cross-client-metrics-overview
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 seranking-planable/smm-skills --skill cross-client-metrics-overview
Clone the repo
git clone --depth 1 https://github.com/seranking-planable/smm-skills

Made for: Claude Code.

Or install planable-smm, the plugin that ships this one along with the rest of its 12 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 cross-client-metrics-overview

README.md
[![agentmods](https://agentmods.dev/badge/skills/seranking-planable/smm-skills/cross-client-metrics-overview/github.svg)](https://agentmods.dev/skills/seranking-planable/smm-skills/cross-client-metrics-overview)
Your own site
<a href="https://agentmods.dev/skills/seranking-planable/smm-skills/cross-client-metrics-overview"><img src="https://agentmods.dev/badge/skills/seranking-planable/smm-skills/cross-client-metrics-overview/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 cross-client-metrics-overview

Your own site · 80×15
<a href="https://agentmods.dev/skills/seranking-planable/smm-skills/cross-client-metrics-overview"><img src="https://agentmods.dev/badge/skills/seranking-planable/smm-skills/cross-client-metrics-overview.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 124 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,096 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 $0.00124 $0.01096
Opus 5 $0.00062 $0.00548
Sonnet 5 $0.00025 $0.00219
Haiku 4.5 $0.00012 $0.00110

Measured 11d ago against content hash b92f7d62b3b0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

cross-client-metrics-overview 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 11d 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/cross-client-metrics-overview/SKILL.md · 118 lines

How it starts

The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cross-client metrics overview

Compare social media performance across multiple Planable workspaces in one view. Built for agency operators and managers who need to see the full picture without opening each workspace individually.

How this skill works

  1. Identify the workspaces and time period to cover
  2. Fetch page and post metrics for each workspace
  3. Produce a ranked, comparative summary
  4. Flag outliers — best performers, problem accounts, accounts needing attention

Step 1: Gather inputs

  • Workspaces to include — specific clients, or all workspaces (default: all)
  • Date range — default to previous calendar month if not specified
  • Primary metric to rank by — engagement rate (default), impressions, posts published, or audience growth

If the user asks for "all clients", proceed — but if there are more than 15 workspaces, confirm before fetching them all.


Step 2: Fetch data for each workspace

For each workspace:

list_pages(workspaceId) → get all pageIds

get_page_metrics_summary(
  workspaceId,
  pageIds[],
  startDate,
  endDate
)

get_post_metrics_summary(
  workspaceId,
  pageIds[],
  startDate,
  endDate
)

Store results keyed by workspace name. Handle failures gracefully — if a workspace returns no data, note it rather than stopping the whole report.


Step 3: Build the comparison

At a glance — ranked table

Rank workspaces by the primary metric. Show as a clean list:

Agency performance — [Month Year]
Ranked by engagement rate

1. [Client A]       Eng. rate: 4.2%   Impressions: 48K   Posts: 22
2. [Client B]       Eng. rate: 3.8%   Impressions: 31K   Posts: 18
3. [Client C]       Eng. rate: 2.1%   Impressions: 62K   Posts: 30
...

Include totals row at the bottom: total impressions, total engagement, total posts across all clients.

Highlights and flags

After the table, add a short section with 3–5 specific callouts:

🏆 Top performer — [Client] led on [metric] with [number]. [One sentence on why if inferable — e.g., "Ran 2 campaigns this month."]

Read the full file on GitHub · 118 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. 11d ago First seen · 118 lines · 124 tokens per session scan A b92f7d62b3b0

Subscribe to this mod's changes

cross-client-metrics-overview is a skill published in the GitHub repository seranking-planable/smm-skills (3 stars, last pushed 2mo ago), licensed MIT. It adds 124 tokens to every session and 1,096 once invoked, about $0.0006 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 2026-08-31.

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