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 skills add TheGoat395/Codex-Skills --skill deep-researchgit clone --depth 1 https://github.com/TheGoat395/Codex-SkillsWrote 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/thegoat395/codex-skills/deep-research)<a href="https://agentmods.dev/skills/thegoat395/codex-skills/deep-research"><img src="https://agentmods.dev/badge/skills/thegoat395/codex-skills/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.
<a href="https://agentmods.dev/skills/thegoat395/codex-skills/deep-research"><img src="https://agentmods.dev/badge/skills/thegoat395/codex-skills/deep-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
SkillSpector: 1 finding, up to low
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- low Excessive Agency · line 17 Skill's behavior or capabilities extend beyond its stated purpose. Scope creep allows an agent to perform actions unrelated to its documented functionality, increasing the attack surface.Fix: Limit the skill's scope to its documented purpose. Remove instructions that enable the agent to perform actions outside its stated functionality.
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 5.1 | $0.00013 | $0.00917 |
| Opus 5 | $0.00006 | $0.00458 |
| Sonnet 5 | $0.00003 | $0.00183 |
| Haiku 4.5 | $0.00001 | $0.00092 |
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 — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deep Research
Produce a decision-ready result whose material claims can be traced to inspected evidence. Derive the necessary research universe from the objective, pursue it broadly and deeply in proportion to consequence, challenge the leading conclusion, and finish the natural in-scope work without waiting for follow-up prompts.
Read for the chosen depth
- Focused: apply the contract, hierarchy, exact claim support and stopping rule below; use the relevant sections of evidence standard when evidence ambiguity or an auditable ledger matters.
- Deep or exhaustive: read coverage and research passes and evidence standard before substantive research. Map, screen, deepen, challenge and verify; source count is not coverage.
- Exhaustive coverage, exceptional consecutive maximum-reasoning passes, or joint
$godmodework: also read challenger and handoff. Deep Research establishes the decision; separately authorized GODMODE execution implements and verifies it. - Material access/search failure or long, multi-surface, compaction-prone work: read the applicable recovery or checkpoint sections of access and continuity.
Inspect exact artifacts; snippets are discovery aids. Preserve protected-source exclusions on alternate routes. Challenge the strongest countercase and complete material in-scope omissions. Separate screened and deeply inspected coverage. For deep/exhaustive or consequential delivery, read research delivery; otherwise lead with the answer, exact supporting citations and material uncertainty. Instruction authority controls work, not empirical truth: test factual claims even in governing sources. Do not expand scope or force durable ledgers on small work.
Establish the Research Contract
- Identify the decision, deliverable, or truth claim the research must support.
- Derive scope, exclusions, time horizon, freshness, jurisdiction, acceptable uncertainty, and failure conditions from the request and governing sources.
- Define observable acceptance criteria and what evidence could change the answer.
- Read named governing files, records, datasets, accounts, repositories, or primary sources completely before claiming adoption.
- Make reasonable reversible assumptions when they preserve the objective; surface only assumptions that materially affect the result.
What ships with it
6 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 Changed · -98 lines · -67 tokens per session e9110ea46005
- 9d ago First seen · 162 lines · 80 tokens per session scan A 1368e6723077
deep-research is a skill published in the GitHub repository TheGoat395/Codex-Skills (122 stars, last pushed yesterday), licensed MIT. It adds 13 tokens to every session and 917 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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