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.
curl -O https://raw.githubusercontent.com/EndogenAI/dogma/main/.github/skills/deep-research-sprint/SKILL.mdgit clone --depth 1 https://github.com/EndogenAI/dogmaWrote 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/endogenai/dogma/deep-research-sprint)<a href="https://agentmods.dev/skills/endogenai/dogma/deep-research-sprint"><img src="https://agentmods.dev/badge/skills/endogenai/dogma/deep-research-sprint/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/endogenai/dogma/deep-research-sprint"><img src="https://agentmods.dev/badge/skills/endogenai/dogma/deep-research-sprint.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 | $0.00118 | $0.04699 |
| Opus 5 | $0.00059 | $0.02350 |
| Sonnet 5 | $0.00024 | $0.00940 |
| Haiku 4.5 | $0.00012 | $0.00470 |
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 9d 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 — 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/.
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.
- 9d ago First seen · 401 lines · 118 tokens per session scan A 44d52c01f972
deep-research-sprint is a skill published in the GitHub repository EndogenAI/dogma (2 stars, last pushed 15d ago), licensed Apache-2.0. It adds 118 tokens to every session and 4,699 once invoked, about $0.0006 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 2026-08-31.
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