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 Rezenders/scientific_writing_agent --skill bootstrap-project-contextgit clone --depth 1 https://github.com/Rezenders/scientific_writing_agentWrote 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/rezenders/scientific_writing_agent/bootstrap-project-context)<a href="https://agentmods.dev/skills/rezenders/scientific_writing_agent/bootstrap-project-context"><img src="https://agentmods.dev/badge/skills/rezenders/scientific_writing_agent/bootstrap-project-context/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/rezenders/scientific_writing_agent/bootstrap-project-context"><img src="https://agentmods.dev/badge/skills/rezenders/scientific_writing_agent/bootstrap-project-context.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00041 | $0.01102 |
| Opus 5.5 | $0.00016 | $0.00441 |
| Sonnet 5 | $0.00008 | $0.00220 |
| Haiku 4.5 | $0.00004 | $0.00110 |
Grade A, and why
bootstrap-project-context 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 2d 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bootstrap Project Context
Use this skill after scientific_writing_agent.py install and before bootstrap-memory, write-to-intent, or substantive review workflows.
This skill is an interactive setup workflow. Its purpose is to replace generic placeholders in .agents/context/ with author-approved project facts. Do not invent missing scientific content.
Goals
Populate or update these focused context files:
.agents/context/manuscript-context.md.agents/context/paper-model.md.agents/context/terminology.md.agents/context/contributions.md.agents/context/evaluation-claims.md.agents/context/claim-ledger.md.agents/context/do-not-say.md.agents/context/reviewer-contracts.mdwhen reviews exist
Leave .agents/context/open-findings.md empty or initialized unless there are known unresolved findings.
Workflow
Phase 1 — Inspect Existing Project Evidence
Before asking questions, inspect the repository for available facts:
- Locate the manuscript entry point (
<MAIN_TEX>) by checking common names such asmain.tex,paper.tex,main-acm.tex, and files containing\documentclass. - Read the entry point and identify
\input/\includesection files. - Inspect macro/config files when obvious, such as
macros.tex,preamble.tex,config/macros.tex, or files included before\begin{document}. - Inspect
Makefile,latexmkrc, CI files, or README build instructions for build and lint commands. - Scan the abstract, introduction, conclusion, and evaluation/results sections when available for contribution and evaluation claims.
- Check for existing
AGENTS.md,CLAUDE.md, reviewer-response files, or project notes.
Report the facts inferred from repository evidence and clearly mark uncertain items.
Phase 2 — Ask a Minimal Questionnaire
Ask only for information not inferable from the repository or requiring author confirmation.
Use this questionnaire, omitting questions already answered by evidence:
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.
- 2d ago First seen · 121 lines · 41 tokens per session scan A 12b909c5033c
bootstrap-project-context is a skill published in the GitHub repository Rezenders/scientific_writing_agent (12 stars, last pushed 2d ago), licensed Apache-2.0. It adds 41 tokens to every session and 1,102 once invoked, about $0.0002 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 2026-09-21.
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