aid-research

aid-research is a skill for Claude Code from AndreVianna/aid-methodology. It costs 137 tokens per session (2,259 once invoked), scanned A, original, MIT.

A research tool for investigating an open technical question and returning a checked summary of the evidence, options, and unknowns.

In plain words
What is it for?
Use it to compare technical options, verify conclusions, and run an authorised isolated feasibility experiment.
Why use it?
It helps when the needed answer has not already been established in the project's existing context.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions subagents.

Good fit Use it to compare technical options, verify conclusions, and run an authorised isolated feasibility experiment.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/andrevianna/aid-methodology/aid-research
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.

Any agent
npx skills add AndreVianna/aid-methodology --skill aid-research
Clone the repo
git clone --depth 1 https://github.com/AndreVianna/aid-methodology

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.

agentmods badge for aid-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/andrevianna/aid-methodology/aid-research/github.svg)](https://agentmods.dev/skills/andrevianna/aid-methodology/aid-research)
Your own site
<a href="https://agentmods.dev/skills/andrevianna/aid-methodology/aid-research"><img src="https://agentmods.dev/badge/skills/andrevianna/aid-methodology/aid-research/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.

agentmods 80×15 button for aid-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/andrevianna/aid-methodology/aid-research"><img src="https://agentmods.dev/badge/skills/andrevianna/aid-methodology/aid-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 137 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,259 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 $0.00137 $0.02259
Opus 5 $0.00068 $0.01130
Sonnet 5 $0.00027 $0.00452
Haiku 4.5 $0.00014 $0.00226

Measured 9d ago against content hash 4a70e9ef5361, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

aid-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 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.

.claude/skills/aid-research/SKILL.md · 177 lines

How it starts

The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research (investigate now, resolve nothing)

/aid-research investigates an open question now and returns a curated, verified answer -- the complete picture, presented clearly. It is aid-ask's bigger sibling: where aid-ask retrieves an answer that already exists in the project's context (one read-only pass, no work folder), research builds a new judgment for a question the available context can't already answer -- with option evaluation, external context, an optional authorized spike, verification, and a human-facing presentation.

  • Resolves nothing. No "I recommend X." It lays out conclusions (+/-), conflicts, and gaps; the user decides.
  • Not a numbered pipeline phase; it does not route to /aid-execute.

State machine: INTAKE -> INVESTIGATE (-> PROPOSE-SPIKE?) -> VERIFY (loop) -> PRESENT [human resolves] -> HANDOFF? -> DONE. Print the [State: NAME] -- {purpose} entry line on each state.


State: INTAKE

  1. Require a question. If the argument is empty, ask one bootstrapping question ("What do you want investigated?") and wait.
  2. Pick the path (question scope):
    • Fast path -- a concrete, well-scoped question with clear evaluation criteria ("Is lib X compatible with our Node 24 build?", "Postgres vs SQLite for use-case Y against criteria A/B/C") -> investigate immediately.
    • Guided path -- vague / broad / underspecified ("research our DB options") -> ask 2-3 scoping questions first (narrow it), then investigate.
  3. Classify complexity (sets model + effort): simple (bounded question, a few docs, <=1 web source) -> aid-researcher at sonnet / medium; standard/complex (broad options analysis, deep traversal, many web sources, a spike) -> opus / high. Verifier tier is always >= producer tier.
  4. Consult the Work Initiation Gate, then allocate the work folder + STATE. First run the gate (.claude/aid/templates/work-initiation-gate.md): bash .claude/aid/scripts/works/enumerate-works.sh (main tree + every git worktree). Empty -> allocate below, no prompt. Works exist -> ask new-vs-continuation with the enumerated list; on continuation route to the chosen work's resume door and STOP (allocate nothing); on new work: resolve <work-id> as work-{NNN+1}, where NNN is the maximum work-NNN numeric prefix across every record the enumeration above already returned (cross-worktree by construction -- never a local .aid/works/ glob; gate § 3a step 1); create and enter the worktree per the gate's § 3a step 2 (worktree-lifecycle.sh create <work-id> <name>, STOP on a non-zero exit or empty path, else enter the resolved path); only then allocate: .aid/works/<work-id>-<slug>/ under .aid/works/; slug from the question. Copy .claude/aid/templates/work-state-template.yml to .aid/works/work-NNN-<slug>/STATE.yml; write opening frontmatter (pipeline.path: lite, initiator: aid-research, lifecycle: Running, active_skill: aid-research, started/updated). Do NOT drive the 7-phase phase scalar. Associate a git worktree only if a spike is later authorized (INVESTIGATE).

Read the full file on GitHub · 177 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. 9d ago First seen · 177 lines · 137 tokens per session scan A 4a70e9ef5361

Subscribe to this mod's changes

aid-research is a skill published in the GitHub repository AndreVianna/aid-methodology (5 stars, last pushed 2d ago), licensed MIT. It adds 137 tokens to every session and 2,259 once invoked, about $0.0007 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 2026-09-03.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens