Borrowing it
Nothing to install: this file belongs to XAIHT/Tlamatini. 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/XAIHT/Tlamatini/main/.codex/skills/full-project-pdf-dossier/SKILL.mdgit clone --depth 1 https://github.com/XAIHT/TlamatiniWrote 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/xaiht/tlamatini/full-project-pdf-dossier)<a href="https://agentmods.dev/skills/xaiht/tlamatini/full-project-pdf-dossier"><img src="https://agentmods.dev/badge/skills/xaiht/tlamatini/full-project-pdf-dossier/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/xaiht/tlamatini/full-project-pdf-dossier"><img src="https://agentmods.dev/badge/skills/xaiht/tlamatini/full-project-pdf-dossier.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 | $0.00071 | $0.01393 |
| Opus 5 | $0.00036 | $0.00696 |
| Sonnet 5 | $0.00014 | $0.00279 |
| Haiku 4.5 | $0.00007 | $0.00139 |
Grade A, and why
full-project-pdf-dossier 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 12d 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Full Project PDF Dossier
Use this skill when the requested PDF must be a complete project artifact, not only a recent-change addendum.
Required Output
The PDF must include:
- Product/system description: what the system is, what it does, and who uses it.
- Architecture: major runtime layers, request flow, important modules, and how subsystems cooperate.
- Usage guide: source-mode setup, daily chat usage, Multi-Turn guidance, workflow designer usage, and release/package path.
- Repository facts: current HEAD, tracked file count, agent count, frontend module counts, dependency count, and recent commits.
- Effective line inventory by language: file count, total physical lines, effective lines, and share of total effective lines.
- Effective line methodology: exclude blank lines, comment-only lines, and Python module/class/function docstrings.
- Largest effective source files.
- Complete tracked repository file tree, split across pages if needed.
- Clear generation timestamp and validation notes.
Preferred Tlamatini Workflow
When working in the Tlamatini repo, prefer the deterministic generator:
python Tlamatini\agent\doc_generation\refresh_project_docs.py
That script delegates to complete_project_docs.py and rebuilds both the full PDF and the matching no-overlap PPTX. If only the PDF is needed, it is still acceptable to run the full generator because the shared context prevents PDF/PPT drift.
Mandatory Three-Pass Consistency Sweep
- Discover: compare the last committed dossier revision with local HEAD, the current annotated version tag, and the worktree; inventory every tracked type with
git ls-files; read README, BookOfTlamatini, current self-knowledge, prompts, agent catalogs, frontend assets, and recent source commits. - Reconcile: build a release-feature matrix mapping every recent behavior to its source implementation, public documentation, maintainer guidance, prompt rule, and relevant skill. Correct active counts from source, but preserve explicitly dated historical counts as history.
- Prove: rerun searches for old active versions/counts/claims, run
python -m ruff check, execute focused tests, regenerate artifacts, and verify text extraction, page count, complete-tree parity, and current-release coverage.
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.
- 12d ago First seen · 70 lines · 71 tokens per session scan A 850b830e0945
full-project-pdf-dossier is a skill published in the GitHub repository XAIHT/Tlamatini (16 stars, last pushed today), licensed MIT. It adds 71 tokens to every session and 1,393 once invoked, about $0.0004 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 2026-08-30.
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