kendex: Skill for Claude Code

.agents/skills/deep-research/SKILL.md

deep-research is a skill for Claude Code from vanillagreencom/kendex. It costs 21 tokens per session (1,209 once invoked), scanned C, original, MIT.

A research procedure for investigating technical systems, vendors, libraries, or technologies and recording sourced findings.

In plain words
What is it for?
It creates a findings report with research metadata and a separate raw-data file, using Exa when available and validating the completed report.
Why use it?
It keeps research evidence, citations, provider data, and validation steps organized instead of mixing unsupported claims into the final report.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: installed under .agents/ (shared by several agents).

This is vanillagreencom/kendex's own configuration. It tells Claude Code how to work on kendex 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 kendex configures →

Reuse

Borrowing it

Nothing to install: this file belongs to vanillagreencom/kendex. 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/vanillagreencom/kendex/main/.agents/skills/deep-research/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/vanillagreencom/kendex

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 deep-research

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/vanillagreencom/kendex/deep-research"><img src="https://agentmods.dev/badge/skills/vanillagreencom/kendex/deep-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,209 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. 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 $0.00021 $0.01209
Opus 5.5 $0.00008 $0.00484
Sonnet 5.5 $0.00004 $0.00242
Haiku 4.5 $0.00002 $0.00121

Measured 21d ago against content hash b8fe6e96cd02, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

deep-research scanned grade C with 1 finding 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 21d 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.

Hidden instructionshighPrompt injection

Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.

<!-- kendex:project-instructions:start -->
.agents/skills/deep-research/SKILL.md · 83 lines

How it starts

The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Project Instructions

Problems with a kendex-owned skill go through kendex report; check ownership in the file first.

Deep Research

In Pi with the web_research tool active, use that tool, passing outputPath when creating a report. In every other harness, run scripts/deep-research with EXA_API_KEY set.

Rules

  • Exa is the research source. Substitute a general web search only when Exa is unavailable and the user approves the fallback.
  • Write findings.md to the path the caller requested, exactly. Given no path, write it to tmp/plans/<slug>-research.md, never under a tracked docs/ path; the full rule is agents/planner.md § Plan Artifacts. The report reaches other sessions as an attachment on its tracker issue.
  • Research on building against another system is held to code-quality § Over-Engineering.
  • Cite sources for material claims. Provider payloads go in the sidecar JSON (findings.raw.json beside the report by default), never inline. Sanitize evidence excerpts: source-page headings must not render as headings.
  • Once the report and its sidecar exist, run validate and stop. No local reproduction, benchmarks, tests, code inspection, or implementation unless the caller asked for it.
  • A missing EXA_API_KEY fails with setup instructions. Set it on this package's Customize tab in the kendex app, or by hand in the project's private env file — .env.local unless KENDEX_ENV_FILE names another. The value may be a key or a 1Password op://vault/item/field reference when the op CLI is installed and signed in.
  • Every mode uses the same findings sections. Record mode and source counts in ## Research Metadata.

Running

.agents/skills/deep-research/scripts/deep-research report "question" --mode standard --output path/to/findings.md
.agents/skills/deep-research/scripts/deep-research report --query-file prompt.txt --context-glob 'context-*.md' --mode full --output findings.md
.agents/skills/deep-research/scripts/deep-research json "question" --output raw.json
.agents/skills/deep-research/scripts/deep-research validate findings.md findings.raw.json
.agents/skills/deep-research/scripts/deep-research doctor

Read the full file on GitHub · 83 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 21d ago Changed · -1 lines b8fe6e96cd02
  2. 23d ago Changed 5070dd1407fe
  3. 29d ago Changed · +2 lines 7196f2734290
  4. 1mo ago Changed 705d40fea8bc
  5. 1mo ago Changed 16cbe350b886
  6. 1mo ago Changed · +6 lines scan A → C 1e338f6a0128
  7. 2mo ago First seen · 76 lines · 21 tokens per session scan A 1e9681ca3990

Subscribe to this mod's changes

deep-research is a skill published in the GitHub repository vanillagreencom/kendex (87 stars, last pushed yesterday), licensed MIT. It adds 21 tokens to every session and 1,209 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.