dogma: Skill for Claude Code

.github/skills/deep-research-sprint/SKILL.md

deep-research-sprint is a skill for Claude Code from EndogenAI/dogma. It costs 118 tokens per session (4,699 once invoked), scanned A, original, Apache-2.0.

A guided workflow for carrying out a formal research sprint from source collection through synthesis, review, archiving, and a final document. It uses a team of research agents and produces Markdown research files.

In plain words
What is it for?
Use it to start research topics, warm a local source cache, coordinate scouts and reviewers, and create finalized documents in the project’s research folder.
Why use it?
It provides a repeatable process for gathering evidence, combining findings, checking the result, and recording the work.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: mentions subagents; mentions AGENTS.md.

This is EndogenAI/dogma's own configuration. It tells Claude Code how to work on dogma itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything dogma configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is uv run python scripts/fetch_all_sources.py --dry-run.

Reuse

Borrowing it

Nothing to install: this file belongs to EndogenAI/dogma. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/EndogenAI/dogma/main/.github/skills/deep-research-sprint/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/EndogenAI/dogma

Made for: Claude Code.

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.

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README.md
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Your own site
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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 deep-research-sprint

Your own site · 80×15
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Per session 118 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,699 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original 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 $0.00118 $0.04699
Opus 5.5 $0.00047 $0.01880
Sonnet 5.5 $0.00024 $0.00940
Haiku 4.5 $0.00012 $0.00470

Measured 2mo ago against content hash 44d52c01f972, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

deep-research-sprint 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 2mo 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.

.github/skills/deep-research-sprint/SKILL.md · 401 lines

How it starts

The opening of the file, as written. The whole thing — 401 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deep Research Sprint

This skill enacts the Endogenous-First axiom from MANIFESTO.md by encoding the complete research sprint workflow as a reusable procedure. The full orchestration pattern is governed by AGENTS.md and the executive fleet design in .github/agents/README.md. Read AGENTS.md before modifying any step in this pipeline.


Core Principle: Every research sprint includes mandatory web scouting to discover and validate external authoritative sources. Endogenous-First means you consult local corpus and cache first, but web searching is the primary expansion activity — it is never optional and should never be skipped to save time or tokens.


1. Pre-Flight: Fetch-Before-Act

Before delegating to any scout, warm the source cache. This implements the Algorithms Before Tokens axiom: scouts read cached Markdown files with read_file rather than re-fetching pages through the context window.

# Preview what will be fetched (safe dry run — always do this first)
uv run python scripts/fetch_all_sources.py --dry-run

# Fetch all uncached sources (idempotent — skips already-cached URLs)
uv run python scripts/fetch_all_sources.py

Check before fetching any individual URL: use --check to see if a page is already cached:

uv run python scripts/fetch_source.py <url> --check

Re-fetching a cached source wastes tokens. If .cache/sources/ already has the page, read it directly.

Source Cache vs. Committed Source Stubs

Location Purpose Committed?
.cache/sources/ Fetched page content (Markdown) No — gitignored
docs/research/sources/ Source stub files referenced from research docs Yes — committed

This distinction is critical for CI: research docs that link to docs/research/sources/ expect committed stub files. Stub files in .cache/sources/ exist only locally and will cause lychee "Cannot find file" errors in CI. When a source is cited in a committed research doc, create a stub in docs/research/sources/ even if the full content is only in .cache/sources/.

Read the full file on GitHub · 401 lines

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. 2mo ago First seen · 401 lines · 118 tokens per session scan A 44d52c01f972

Subscribe to this mod's changes

deep-research-sprint is a skill published in the GitHub repository EndogenAI/dogma (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 118 tokens to every session and 4,699 once invoked, about $0.0005 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 2026-08-31.

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