AnnualReports

AnnualReports is a skill for Claude Code, Codex from jSydorowicz21/Universal-AI-Infrustructure. It costs 67 tokens per session (1,150 once invoked), scanned A, original, no licence file.

A tool for collecting and analysing annual security reports from major vendors, then combining them into summaries of threat trends.

In plain words
What is it for?
It is for gathering reports, extracting trends, comparing threats, and producing threat-intelligence summaries.
Why use it?
It helps compare how the security threat landscape changes from one year to the next without reading every report separately.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit It is for gathering reports, extracting trends, comparing threats, and producing threat-intelligence summaries.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jsydorowicz21/universal-ai-infrustructure/annualreports
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 jSydorowicz21/Universal-AI-Infrustructure --skill annualreports
Clone the repo
git clone --depth 1 https://github.com/jSydorowicz21/Universal-AI-Infrustructure

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 AnnualReports

README.md
[![agentmods](https://agentmods.dev/badge/skills/jsydorowicz21/universal-ai-infrustructure/annualreports/github.svg)](https://agentmods.dev/skills/jsydorowicz21/universal-ai-infrustructure/annualreports)
Your own site
<a href="https://agentmods.dev/skills/jsydorowicz21/universal-ai-infrustructure/annualreports"><img src="https://agentmods.dev/badge/skills/jsydorowicz21/universal-ai-infrustructure/annualreports/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 AnnualReports

Your own site · 80×15
<a href="https://agentmods.dev/skills/jsydorowicz21/universal-ai-infrustructure/annualreports"><img src="https://agentmods.dev/badge/skills/jsydorowicz21/universal-ai-infrustructure/annualreports.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,150 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 $0.00067 $0.01150
Opus 5 $0.00034 $0.00575
Sonnet 5 $0.00013 $0.00230
Haiku 4.5 $0.00007 $0.00115

Measured 8d ago against content hash 86c9529cc790, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

AnnualReports scanned grade A with 1 finding 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 8d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (Tools/FetchReport.ts, Tools/ListSources.ts, Tools/UpdateSources.ts), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s -X POST http://localhost:8888/notify \
Packs/Security/src/AnnualReports/SKILL.md · 117 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

3 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.

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. 8d ago First seen · 117 lines · 67 tokens per session scan A 86c9529cc790

Subscribe to this mod's changes

AnnualReports is a skill published in the GitHub repository jSydorowicz21/Universal-AI-Infrustructure (2 stars, last pushed 12d ago), with no licence file. It adds 67 tokens to every session and 1,150 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Related

Other skills, from other repositories

lastlight-overlay

Create or customize a Last Light deployment OVERLAY (the private instance/ repo) — scaffold it, then fork built-in workflows, prompts, skills, or the agent persona (agent-context) so a deployment can override them. Use when the user wants to "create a Last Light overlay / instance repo", "customize / fork a workflow"…

nearform/lastlight · 115 tokens

tracked-todo-working-memory

Complete guide for GAIA tracked todos — philosophy, two modes (immediate/long-running), canvas activity logging, scheduling/recurrence, and institutional memory.

theexperiencecompany/gaia · 38 tokens

gmail-search-context

Read, search, and summarize Gmail — precise queries, large-inbox fan-out reads, synthesized findings, and the opinionated inbox triage report.

theexperiencecompany/gaia · 33 tokens

notion-manage-content

Manage Notion page content — insert, append, update blocks, delete blocks, override/replace content, and create new linked pages. Supports full markdown including tables.

theexperiencecompany/gaia · 39 tokens

posthog-find-metrics

Find, query, and analyze PostHog metrics — trends, funnels, retention, feature flags, experiments, errors, and custom HogQL/SQL queries. Uses parallel subagents for multi-metric investigations.

theexperiencecompany/gaia · 48 tokens

calendar-create-event

Create calendar events intelligently - check availability, handle attendees, manage recurrence, timezone-aware scheduling with confirmation workflow.

theexperiencecompany/gaia · 25 tokens