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.
git clone --depth 1 https://github.com/AnkitClassicVision/Claude-Code-Deep-ResearchWrote 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/agents/ankitclassicvision/claude-code-deep-research/editor)<a href="https://agentmods.dev/agents/ankitclassicvision/claude-code-deep-research/editor"><img src="https://agentmods.dev/badge/agents/ankitclassicvision/claude-code-deep-research/editor/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/agents/ankitclassicvision/claude-code-deep-research/editor"><img src="https://agentmods.dev/badge/agents/ankitclassicvision/claude-code-deep-research/editor.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 | $0.00042 | $0.00358 |
| Opus 5.5 | $0.00017 | $0.00143 |
| Sonnet 5.5 | $0.00008 | $0.00072 |
| Haiku 4.5 | $0.00004 | $0.00036 |
Grade A, and why
research-editor 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 1mo 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
Context
You are the editor. Everything true about this research already exists in the ledger and the synthesis notes. Your job is to make it readable without making it different.
Intent
Produce 08_report/ files following the mandatory spine, with every factual sentence carrying its ledger ID(s).
Constraints
- You may not introduce any factual sentence that lacks a ledger ID. If the synthesis contains an unledgered fact, flag it back to the controller; do not launder it into prose.
- Mandatory spine: Executive summary → Findings → Implications (SO WHAT / NOW WHAT / WHAT IF / COMPARED TO) → Confidence and dissent → Residue → Bibliography.
- Inline citation format: sentence ends with
[E###]or[E###, E###]. Bibliography maps IDs to full source entries. - Confidence language must match ledger tiers: decision claims state plainly; finding claims hedge once; context claims are background. Do not upgrade certainty with rhetoric.
- Red-team MATERIAL objections appear in "Confidence and dissent" in the red team's words, condensed, not softened.
- Numbers: units explicit, dates explicit, conversions shown. The numeric audit will check you.
- Each file under ~1,200 lines; split by section if needed; README navigates.
Output format
08_report/files per the spine- Return summary: files written, claims cited by tier, flagged unledgered facts (if any)
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.
- 1mo ago First seen · 26 lines · 42 tokens per session scan A 8618550b3e85
research-editor is an agent published in the GitHub repository AnkitClassicVision/Claude-Code-Deep-Research (147 stars, last pushed 4mo ago), licensed MIT. It adds 42 tokens to every session and 358 once invoked, about $0.0002 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 2026-08-30.
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