Borrowing it
Nothing to install: this file belongs to davidmatousek/tachi. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/davidmatousek/tachi/main/.claude/skills/tachi-report-assembly/SKILL.mdgit clone --depth 1 https://github.com/davidmatousek/tachiWrote 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/davidmatousek/tachi/tachi-report-assembly)<a href="https://agentmods.dev/skills/davidmatousek/tachi/tachi-report-assembly"><img src="https://agentmods.dev/badge/skills/davidmatousek/tachi/tachi-report-assembly/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/davidmatousek/tachi/tachi-report-assembly"><img src="https://agentmods.dev/badge/skills/davidmatousek/tachi/tachi-report-assembly.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00058 | $0.00465 |
| Opus 5 | $0.00029 | $0.00233 |
| Sonnet 5 | $0.00012 | $0.00093 |
| Haiku 4.5 | $0.00006 | $0.00047 |
Grade A, and why
tachi-report-assembly 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 30 lines — stays where its author put it; the contents beside it link to each section on GitHub.
tachi-report-assembly
PDF security report assembly domain knowledge extracted from the tachi report-assembler agent. This skill provides the artifact detection tables, Typst template interface contract, and brand asset guidelines that the report-assembler uses to transform pipeline artifacts into a professional PDF security assessment booklet.
Domain Overview
The report assembly pipeline bridges tachi pipeline artifacts (markdown and image files) with a Typst template system to produce a multi-page PDF:
- Artifact Detection -- Identify which pipeline outputs are available in the target directory and select the richest data source tier for findings presentation
- Data Extraction -- Parse markdown artifacts and extract structured data via deterministic Python script
- Typst Data Generation -- Generate a
report-data.typfile containing all extracted variables as Typst#letbindings that the template system imports at compile time - Brand Asset Resolution -- Locate logo files with dark variant support and compute relative paths for Typst image inclusion
The Typst template system uses a data injection pattern: main.typ imports report-data.typ and conditionally includes page templates based on artifact availability flags. The agent's responsibility is generating report-data.typ with correct variable names, types, and values.
Loading Table
Reference files are loaded on-demand by the report-assembler agent at specific workflow phases using the Read tool.
| Reference | File | Load When |
|---|---|---|
| Typst Artifacts | references/typst-artifacts.md |
Artifact detection phase (Step 1) — determining which pipeline outputs exist and selecting data source tier |
| Typst Template Contract | references/typst-template-contract.md |
Data generation phase (Step 2) — generating report-data.typ with correct variable bindings |
| Brand Asset Guidelines | references/brand-asset-guidelines.md |
Brand detection phase (Step 2) — locating and resolving logo paths for cover and footer |
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.
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.
- 7d ago First seen · 30 lines · 58 tokens per session scan A 0ed6c4d4502d
tachi-report-assembly is a skill published in the GitHub repository davidmatousek/tachi (92 stars, last pushed 29d ago), licensed Apache-2.0. It adds 58 tokens to every session and 465 once invoked, about $0.0003 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 2026-09-03.
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