dogma: Skill for Claude Code

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

secondary-research-sprint is a skill for Claude Code, Codex from EndogenAI/dogma. It costs 55 tokens per session (1,891 once invoked), scanned A, original, Apache-2.0.

A five-step process for researching an issue that contains only a title and a web link, adding context, checking existing research, and producing a synthesis document.

In plain words
What is it for?
Use it when a GitHub issue needs background research from one source, but does not yet include enough context or acceptance criteria.
Why use it?
It turns an underspecified issue into a documented research task before implementation begins.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions AGENTS.md.

This is EndogenAI/dogma's own configuration. It tells Claude Code and Codex 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_source.py <url> --check.

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/secondary-research-sprint/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/EndogenAI/dogma

Made for: Claude Code, Codex.

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Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,891 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 $0.00055 $0.01891
Opus 5.5 $0.00022 $0.00756
Sonnet 5.5 $0.00011 $0.00378
Haiku 4.5 $0.00006 $0.00189

Measured 2mo ago against content hash aff1a0e334a7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

secondary-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/secondary-research-sprint/SKILL.md · 220 lines

How it starts

The opening of the file, as written. The whole thing — 220 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Secondary Research Sprint

Governing axiom: Endogenous-First (MANIFESTO.md § 1)

This skill encodes a 5-step procedure for executing secondary research sprints on bare-bones GitHub issues that contain only a title and a URL. All steps are governed by AGENTS.md § Agent Communication and § Programmatic-First Principle. Read AGENTS.md before modifying any step.

When to use: An issue arrives with just a URL and no acceptance criteria, no summary, and no context. This skill enriches the issue first, checks the existing corpus for coverage, scouts the target source, synthesizes a D4 doc, and archives the result.

When NOT to use: Full multi-source research topics (use deep-research-sprint); issues that already have a detailed brief; single-source lookups that don't warrant a D4 doc.


Step 1 — Issue Enrichment (before anything else)

Fetch the URL in the issue body and rewrite the issue with structured context before any research begins.

Check before fetch (Algorithms-Before-Tokens: avoid re-downloading cached content):

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

Fetch if not cached:

uv run python scripts/fetch_source.py <url>

Extract from the fetched content:

  • Title
  • Abstract or summary (3–5 sentences)
  • Key claims (3–5 bullets)
  • Any recommended follow-up reads

Write enriched issue body to a temp file (using create_file or inline write — never heredoc):

Body template:

# <Title from source>

**Source:** <URL>
**Fetched:** <date>

## Summary
<3-5 sentence summary>

## Key Claims
- <claim 1>
- <claim 2>
- ...

## Relevance to dogma
<1-2 sentences on why this matters for the project>

## Acceptance Criteria
- [ ] D4 synthesis doc committed at `docs/research/<slug>.md`
- [ ] Issue closed with `Closes #<num>` in PR or via `gh issue close`
- [ ] `validate_synthesis.py` passes on the output doc

Validate before posting:

test -s /tmp/issue_<num>_enriched.md && file /tmp/issue_<num>_enriched.md | grep -q "UTF-8\|ASCII"

Read the full file on GitHub · 220 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 · 220 lines · 55 tokens per session scan A aff1a0e334a7

Subscribe to this mod's changes

secondary-research-sprint is a skill published in the GitHub repository EndogenAI/dogma (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 55 tokens to every session and 1,891 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 2026-08-31.

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