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 wyattowalsh/agents --skill researchgit clone --depth 1 https://github.com/wyattowalsh/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/wyattowalsh/agents/research)<a href="https://agentmods.dev/skills/wyattowalsh/agents/research"><img src="https://agentmods.dev/badge/skills/wyattowalsh/agents/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/wyattowalsh/agents/research"><img src="https://agentmods.dev/badge/skills/wyattowalsh/agents/research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium Excessive Agency · line 8 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 | $0.00041 | $0.07020 |
| Opus 5.5 | $0.00016 | $0.02808 |
| Sonnet 5.5 | $0.00008 | $0.01404 |
| Haiku 4.5 | $0.00004 | $0.00702 |
Grade A, and why
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 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.
How it starts
The opening of the file, as written. The whole thing — 474 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deep Research
General-purpose deep research with multi-source synthesis, confidence scoring, source-support auditing, and anti-hallucination verification. The design follows current deep-research patterns: plan before retrieval, start broad then narrow, coordinate parallel workers through a lead agent, audit whether cited sources actually support each claim, use perspective expansion for breadth, and synthesize into a report rather than a source dump.
Canonical Vocabulary
Use these canonical terms exactly in plans, journals, delegated task prompts, and final reports.
| Term | Definition |
|---|---|
| query | The user's research question or topic; the unit of investigation |
| claim | A discrete assertion to be verified; extracted from sources or user input |
| source | A specific origin of information: URL, document, database record, or API response |
| evidence | A source-backed datum supporting or contradicting a claim; always has provenance |
| provenance | The chain from evidence to source: tool used, URL, access timestamp, excerpt |
| confidence | Score 0.0-1.0 per claim; based on evidence strength and cross-validation |
| cross-validation | Verifying a claim across 2+ independent sources; the core anti-hallucination mechanism |
| triangulation | Confirming a finding using 3+ methodologically diverse sources |
| contradiction | When two credible sources assert incompatible claims; must be surfaced explicitly |
| synthesis | The final research product: not a summary but a novel integration of evidence with analysis |
| plan gate | A compact, reviewable research plan produced after triage and before substantial retrieval |
| source-support audit | Statement-level check that each cited source actually supports the claim attached to it |
| support matrix | Table mapping each claim to each cited source with supports, partial, contradicts, or irrelevant |
| citation anchor | The specific excerpt, section, or data row used to connect a source to a claim |
| support status | Per-claim/per-source classification: supports, partial, contradicts, or irrelevant |
| effort budget | Bounded search/delegation plan covering expected workers, source count, depth, and stop conditions |
| journal | The saved markdown record of a research session, stored in `~/.{gemini |
| sweep | Wave 1: broad parallel search across multiple tools and sources |
| deep dive | Wave 2: targeted follow-up on specific leads from the sweep |
| lead | A promising source or thread identified during the sweep, warranting deeper investigation |
| tier | Complexity classification: Quick (0-2), Standard (3-5), Deep (6-8), Exhaustive (9-10) |
| finding | A verified claim with evidence chain, confidence score, and provenance; the atomic unit of output |
| gap | An identified area where evidence is insufficient, contradictory, or absent |
| bias marker | An explicit flag on a finding indicating potential bias (recency, authority, LLM prior, etc.) |
| degraded mode | Operation when research tools are unavailable; confidence ceilings applied |
| capability | A research ability such as web search, docs lookup, extraction, or subagent delegation; tool names are preferred implementations, not guarantees |
What ships with it
27 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.
- evals/evals.json 6.2 KB
- evals/test-cases.yaml 11 KB
- references/bias-detection.md 5.4 KB
- references/confidence-rubric.md 5.4 KB
- references/contradiction-protocol.md 4.0 KB
- references/dashboard-schema.md 4.7 KB
- references/evidence-chain.md 5.3 KB
- references/output-formats.md 6.8 KB
- references/self-verification.md 5.6 KB
- references/session-commands.md 3.0 KB
- references/source-selection.md 11 KB
- references/team-templates.md 13 KB
- scripts/asset_toolkit/__init__.py 303 B runs code
- scripts/asset_toolkit/_shared.py 5.6 KB runs code
- scripts/asset_toolkit/common.py 3.0 KB runs code
- scripts/asset_toolkit/package.py 43 KB runs code
- scripts/asset_toolkit/validate_evals.py 5.5 KB runs code
- scripts/asset_toolkit/validate_hooks.py 13 KB runs code
- scripts/asset_toolkit/validate_skill.py 3.6 KB runs code
- scripts/check.py 5.2 KB runs code
- scripts/finding-formatter.py 9.2 KB runs code
- scripts/journal-store.py 33 KB runs code
- scripts/research_hook.py 11 KB runs code
- scripts/research-scanner.py 11 KB runs code
- scripts/source-deduplicator.py 12 KB runs code
- scripts/verify.py 2.4 KB runs code
- templates/dashboard.html 32 KB
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 · 474 lines · 41 tokens per session scan A fcd69bcf0229
research is a skill published in the GitHub repository wyattowalsh/agents (5 stars, last pushed 1mo ago), licensed MIT. It adds 41 tokens to every session and 7,020 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 2026-09-03.
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