research

A research workflow that turns questions into targeted searches through a codebase or researches a topic directly. It can use questions from a brainstorm document and saves its findings as a research artifact.

In plain words
What is it for?
Use it to investigate a planned feature, search for existing code related to a question, or record discoveries made during implementation.
Why use it?
It keeps investigation separate from implementation, so you can gather and record relevant context without changing project files.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/minusblindfold/devloop/research
Any agent
npx skills add minusblindfold/devloop --skill research
Clone the repo
git clone --depth 1 https://github.com/minusblindfold/devloop

Made for: Claude Code, Codex.

Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 899 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00036 $0.00899
Opus 5 $0.00018 $0.00449
Sonnet 5 $0.00007 $0.00180
Haiku 4.5 $0.00004 $0.00090

Measured yesterday against content hash e82dd4347507, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

research 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 yesterday.

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.

plugins/dl/skills/research/SKILL.md · 88 lines

How it starts

The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Execute each section in order. Copy the checklist and check off items as you complete them. Do not proceed past a Gate until verified.

Artifact: Write to .work/research/. Verify with ls before wrapping up.

Constraint: You MUST NOT modify project files. This skill produces context, not code.

Mode

Check .work/active/ for marker files. If exactly one exists and no $ARGUMENTS provided, auto-select that feature's slug. If multiple markers exist, list them, offer to archive any with date older than 30 days to .work/archive/, then ask. Arguments always override.

Parse $ARGUMENTS (or auto-selected slug): matches existing file in .work/research/ by slug → re-entry. Set but no match → create. Empty → stop and return, asking the caller for a topic.

You run in a forked context and cannot converse — when a choice is genuinely required (multiple current markers, no topic), stop and return the options to the caller instead of asking.

Find matching brainstorm artifact in .work/brainstorms/ and extract its ## Research Queries section. If missing, note it and derive queries from the given topic directly.

Task Progress:
- [ ] Determine mode; find and read brainstorm artifact (missing: derive queries from topic)
- [ ] If re-entry: read existing research artifact
- [ ] Read project rules from devloop/rules/
- [ ] Execute each research query as targeted search
- [ ] List findings per query in response
- [ ] Synthesize: identify gaps across queries
- [ ] Write artifact (create: new file; re-entry: append dated section)
- [ ] Gate: verify artifact with ls; update active marker
- [ ] Wrap up: summarize, suggest /dl:plan

Query execution

Read devloop/rules/*.md if present — apply rules whose keywords match the topic; rules without keywords always apply. If a matched rule declares repos:, include those repos in the search. For each query from the brainstorm artifact, search the codebase with targeted reads and greps. Record findings per query — keep findings factual, not opinionated. When a query touches an existing feature, note how it's structured through the stack (e.g., route → service → model → test) — this gives plan concrete examples for vertical slicing.

Read the full file on GitHub · 88 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. yesterday First seen · 88 lines · 36 tokens per session scan A e82dd4347507

Subscribe to this mod's changes

research is a skill published in the GitHub repository minusblindfold/devloop (1 stars, last pushed 1mo ago), licensed MIT. It adds 36 tokens to every session and 899 once invoked, about $0.0002 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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