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 nirecom/agents --skill deep-researchgit clone --depth 1 https://github.com/nirecom/agentsWrote 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/nirecom/agents/deep-research)<a href="https://agentmods.dev/skills/nirecom/agents/deep-research"><img src="https://agentmods.dev/badge/skills/nirecom/agents/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/nirecom/agents/deep-research"><img src="https://agentmods.dev/badge/skills/nirecom/agents/deep-research.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00027 | $0.00464 |
| Opus 5.5 | $0.00011 | $0.00186 |
| Sonnet 5.5 | $0.00005 | $0.00093 |
| Haiku 4.5 | $0.00003 | $0.00046 |
Grade A, and why
deep-research scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Investigate external information related to the given task.
Procedure
DR-1. Delegate to web-researcher:
Agent({ subagent_type: "web-researcher", prompt: JSON.stringify({
topic: TOPIC, context: CONTEXT,
artifact_dir: PLANS_DIR
}) })
Also set the dispatch_directive key to the canonical line of the rules/shell-commands.md Subagent Dispatch Prompts section.
On failed status: surface summary to user and stop.
DR-2. Read the report from artifact_path (one read, at the end).
DR-3. Present findings — output format: ## Deep Research: PERFORMED|FAILED (1 line) + artifact_path pointer (1 line) + ≤200 char summary. Do not re-emit the full report text in assistant output. The caller must not re-summarize or paraphrase these findings — DR-3 output is the complete user-facing surface.
Rules
- Do not modify any project files
- Always include source URLs for traceability
- Prefer primary sources (official docs, RFCs) over blog posts
- When sources contradict each other, report both sides instead of choosing one
Completion
After completing this skill:
- Run:
node "$AGENTS_MAIN_ROOT/bin/workflow/next-step" --advance --step research --complete --next(must be the ENTIRE Bash command — nocd, no pipes, no && chaining, no redirection) - Follow the returned
ACTION/NEXT_SKILL/NEXT_HINTper CLAUDE.md.
Skip this skill when no external knowledge is needed (e.g., the task is purely internal to the codebase).
If research is genuinely not needed for this task:
- Run:
echo "<<WORKFLOW_RESEARCH_NOT_NEEDED: {reason}>>"(reason must be ≥3 non-space chars, not a placeholder like "none"/"skip", and contain no '>')
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.
- 9d ago Changed · +1 lines 901b54c2e174
- 11d ago Changed 284246bde335
- 21d ago Changed · -1 lines 46da6f09c892
- 1mo ago Changed · +1 lines be6013ce2bb8
- 1mo ago First seen · 40 lines · 27 tokens per session scan A ee5b0ea21cbf
deep-research is a skill published in the GitHub repository nirecom/agents (3 stars, last pushed today), licensed MIT. It adds 27 tokens to every session and 464 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-31.
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