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.
npx agentmods add skills/vanillagreencom/kendex/deep-researchnpx skills add vanillagreencom/kendex --skill deep-researchgit clone --depth 1 https://github.com/vanillagreencom/kendexWrote 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/vanillagreencom/kendex/deep-research)<a href="https://agentmods.dev/skills/vanillagreencom/kendex/deep-research"><img src="https://agentmods.dev/badge/skills/vanillagreencom/kendex/deep-research.svg" alt="Measured on agentmods" 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 | $0.00021 | $0.01059 |
| Opus 5 | $0.00010 | $0.00530 |
| Sonnet 5 | $0.00004 | $0.00212 |
| Haiku 4.5 | $0.00002 | $0.00106 |
Grade A, and why
deep-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 3d 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 — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deep Research
Problem with this skill? Run
kendex report— it files to the owning repo automatically. Do not hand-file.
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.mdto the path the caller requested, exactly. - Cite sources for material claims. Provider payloads go in the sidecar JSON (
findings.raw.jsonbeside 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
validateand stop. No local reproduction, benchmarks, tests, code inspection, or implementation unless the caller asked for it. - A missing
EXA_API_KEYfails with setup instructions. The value may be a key or a 1Passwordop://vault/item/fieldreference when theopCLI is installed and signed in. - Every mode uses the same findings sections. Record mode and source counts in
## Research Metadata.
Running
skills/deep-research/scripts/deep-research report "question" --mode standard --output path/to/findings.md
skills/deep-research/scripts/deep-research report --query-file prompt.txt --context-glob 'context-*.md' --mode full --output findings.md
skills/deep-research/scripts/deep-research json "question" --output raw.json
skills/deep-research/scripts/deep-research validate findings.md findings.raw.json
skills/deep-research/scripts/deep-research doctor
deep-research help lists every flag. Exa /search caps the settings behind them: numResults 1-100, text.maxCharacters 1-10000, additionalQueries at most 10.
| Mode | Exa type | Results | Text cap | Timeout | Synthesis |
|---|---|---|---|---|---|
lite |
deep-lite |
15 | 10k chars/result | 5 min | Not requested — evidence brief only |
standard |
deep-reasoning |
50 | 10k chars/result | 10 min | Requested via outputSchema |
full |
deep-reasoning |
100 | 10k chars/result | 30 min | Requested, per query |
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.
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.
- 3d ago First seen · 76 lines · 21 tokens per session scan A 1e9681ca3990
deep-research is a skill published in the GitHub repository vanillagreencom/kendex (65 stars, last pushed yesterday), licensed MIT. It adds 21 tokens to every session and 1,059 once invoked, about $0.0001 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 2026-08-30.
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