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 Threat-Vector-Security/guardian-agent --skill deep-researchgit clone --depth 1 https://github.com/Threat-Vector-Security/guardian-agentWrote 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/threat-vector-security/guardian-agent/deep-research)<a href="https://agentmods.dev/skills/threat-vector-security/guardian-agent/deep-research"><img src="https://agentmods.dev/badge/skills/threat-vector-security/guardian-agent/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 5.1 | $0.00028 | $0.00226 |
| Opus 5 | $0.00014 | $0.00113 |
| Sonnet 5 | $0.00006 | $0.00045 |
| Haiku 4.5 | $0.00003 | $0.00023 |
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 7d 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.
What it actually says
Deep Research
Use this skill when the task needs investigation before implementation.
Workflow:
- Define the exact question being answered.
- Inspect the smallest relevant file and symbol set first.
- Compare competing code paths, old vs new behavior, or proposal vs implementation.
- Produce a concise synthesis: what is true, what is inferred, what is still unknown.
Guardrails:
- Do not start editing until the research question is answered.
- Keep notes compact and decision-oriented.
- If the investigation branches, summarize each branch separately before merging conclusions.
Gotchas
- Do not drift from investigation into implementation just because a likely fix becomes obvious.
- Do not mix confirmed observations and inferred conclusions into one bullet list.
- Do not read the whole repo when a narrow symbol/file comparison can answer the question.
Template
- Use
templates/research-brief.mdwhen the findings need to be handed off or saved as a durable brief.
What ships with it
2 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.
- 7d ago First seen · 30 lines · 28 tokens per session scan A 9a43fa59f6d5
deep-research is a skill published in the GitHub repository Threat-Vector-Security/guardian-agent (11 stars, last pushed yesterday), licensed Apache-2.0. It adds 28 tokens to every session and 226 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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