Claude Code Plugins Directory is a marketplace containing plugins for Claude Code, including tools, commands, skills, agents, hooks, and model context servers. Claude Code users browse it to install Anthropic-maintained or approved third-party extensions.
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 anthropics/claude-plugins-official --skill session-reportgit clone --depth 1 https://github.com/anthropics/claude-plugins-officialWrote 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/anthropics/claude-plugins-official/session-report)<a href="https://agentmods.dev/skills/anthropics/claude-plugins-official/session-report"><img src="https://agentmods.dev/badge/skills/anthropics/claude-plugins-official/session-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.
<a href="https://agentmods.dev/skills/anthropics/claude-plugins-official/session-report"><img src="https://agentmods.dev/badge/skills/anthropics/claude-plugins-official/session-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00034 | $0.00799 |
| Opus 5.5 | $0.00014 | $0.00320 |
| Sonnet 5.5 | $0.00007 | $0.00160 |
| Haiku 4.5 | $0.00003 | $0.00080 |
Grade A, and why
session-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.
Copies of this mod
6 near-identical copies found in the catalogue:
- session-report — 100% identical, 0 lines differ
- session-report — 100% identical, 0 lines differ
- session-report — 100% identical, 0 lines differ
- session-report — 100% identical, 0 lines differ
- session-report — 100% identical, 4 lines differ
- session-report — 92% identical, 4 lines differ
How it starts
The opening of the file, as written. The whole thing — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Session Report
Produce a self-contained HTML report of Claude Code usage and save it to the current working directory.
Steps
-
Get data. Run the bundled analyzer (default window: last 7 days; honor a different range if the user passed one, e.g.
24h,30d, orall). The scriptanalyze-sessions.mjslives in the same directory as this SKILL.md — use its absolute path:node <skill-dir>/analyze-sessions.mjs --json --since 7d > /tmp/session-report.jsonFor all-time, omit
--since. -
Read
/tmp/session-report.json. Skimoverall,by_project,by_subagent_type,by_skill,cache_breaks,top_prompts. -
Copy the template (also bundled alongside this SKILL.md) to the output path in the current working directory:
cp <skill-dir>/template.html ./session-report-$(date +%Y%m%d-%H%M).html -
Edit the output file (use Edit, not Write — preserve the template's JS/CSS):
- Replace the contents of
<script id="report-data" type="application/json">with the full JSON from step 1. The page's JS renders the hero total, all tables, bars, and drill-downs from this blob automatically. - Fill the
<!-- AGENT: anomalies -->block with 3–5 one-line findings. Express figures as a % of total tokens wherever possible (total =overall.input_tokens.total + overall.output_tokens). One line per finding, exact markup:
Classes:<div class="take bad"><div class="fig">41.2%</div><div class="txt"><b>cc-monitor</b> consumed 41% of the week across just 3 sessions</div></div>.take badfor waste/anomalies (red),.take goodfor healthy signals (green),.take infofor neutral facts (blue). The.figis one short number (a %, a count, or a multiplier like12×). The.txtis one plain-English sentence naming the project/skill/prompt; wrap the subject in<b>. Look for: a project or skill eating a disproportionate share, cache-hit <85%, a single prompt >2% of total, subagent types averaging >1M tokens/call, cache breaks clustering. - Fill the
<!-- AGENT: optimizations -->block (at the bottom of the page) with 1–4<div class="callout">suggestions tied to specific rows (e.g. "/weekly-statusspawned 7 subagents for 8.1% of total — scope it to fewer parallel agents"). - Do not restructure existing sections.
- Replace the contents of
What ships with it
2 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.
- 1mo ago First seen · 43 lines · 34 tokens per session scan A ef0fbc4259a4
session-report is a skill published in the GitHub repository anthropics/claude-plugins-official (43,634 stars, last pushed today), licensed Apache-2.0. It adds 34 tokens to every session and 799 once invoked, about $0.0001 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 2026-09-03.
Other skills, from other repositories
agent-platform-model-registry
Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.
gke-workload-security
Audits, configures, and hardens workload-level security controls for Google Kubernetes Engine (GKE) applications and namespaces. Covers running security audits (auditcluster.sh), enforcing Network Policies (default-deny and Dataplane V2 logging), isolating high-risk pods inside GKE Sandbox (gVisor), enforcing Pod…
gke-reliability
Improves GKE workload reliability, using PDBs, health probes, and topology spread constraints. Use when configuring GKE workload reliability, setting up PDBs, or configuring GKE health probes (liveness, readiness, startup). Don't use for generating K8s YAML manifests (use gke-manifest-generation) or disaster recovery…
google-cloud-solution-agentic-analytics-spark-knowledge-catalog
Discovers requirements and designs an end-to-end governed agentic analytics solution using Knowledge Catalog and Managed Service for Apache Spark (Lightning Engine). Use when designing data science and analytics workflows across structured and unstructured distributed data (including in S3, Azure Blob, AlloyDB, and…
glance-canonical-layouts
Use this skill to create home screen widgets using Jetpack Glance Canonical Layouts from the Android Platform Samples project, or when asked to implement standard widget layout patterns (including Check List, Image Grid, Snap Scrolling, and Standard Toolbar).
twitter-reader
Read Twitter/X for financial research through opencli: the user's home timeline, tweet search, trending topics, bookmarks, a user's recent tweets, threads, articles, profiles, followers and following, and notifications. Use this skill whenever the user wants to know what people are saying on Twitter/X or fintwit about…