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 appautomaton/webmaton --skill agentic-searchgit clone --depth 1 https://github.com/appautomaton/webmatonWrote 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/appautomaton/webmaton/agentic-search)<a href="https://agentmods.dev/skills/appautomaton/webmaton/agentic-search"><img src="https://agentmods.dev/badge/skills/appautomaton/webmaton/agentic-search/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/appautomaton/webmaton/agentic-search"><img src="https://agentmods.dev/badge/skills/appautomaton/webmaton/agentic-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00103 | $0.00839 |
| Opus 5.5 | $0.00041 | $0.00336 |
| Sonnet 5.5 | $0.00021 | $0.00168 |
| Haiku 4.5 | $0.00010 | $0.00084 |
Grade A, and why
agentic-search 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 — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
agentic-search
| # | Script | Intent |
|---|---|---|
| 1 | scripts/agentic_search.py |
Research a topic — AI-reasoned answer with citations |
| 2 | scripts/agentic_fetch.py |
Full page → Markdown, no summarization |
| 3 | scripts/agentic_map.py |
Enumerate URLs under a site (Tavily-only) |
| 4 | scripts/agentic_extract.py |
Verbatim title + 2–4 quotes from a URL |
| 5 | scripts/agentic_rank.py |
Rerank session sources by a refined query |
| 6 | scripts/agentic_get_sources.py |
Retrieve or list cached sessions |
How to invoke
All scripts use PEP 723 inline deps — always invoke via uv run. Allow up to 3 minutes per call.
uv run scripts/agentic_search.py --query "..." [--extra-sources N] [--auto-fetch-top N] [--platform "..."]
uv run scripts/agentic_fetch.py --url "..." [--engine auto|tavily|firecrawl|grok]
uv run scripts/agentic_map.py --url "..." [--instructions "..."] [--limit N]
uv run scripts/agentic_extract.py --url "..." [--session-id S]
uv run scripts/agentic_rank.py --query "..." --session-id S
uv run scripts/agentic_get_sources.py --list | --session-id S
Session workflow
agentic_search generates a session_id persisted to disk — the connective tissue for composing steps:
agentic_search → session_id
├─→ agentic_rank --session-id S --query Q (rerank in place; mutates session)
├─→ agentic_extract --session-id S --url U (append verbatim quotes)
└─→ agentic_get_sources --session-id S (inspect full session)
Sessions survive between invocations but may be cleared on OS reboot.
Operating discipline
Load the relevant reference before composing a non-trivial query — don't load all four upfront.
references/search-discipline.md— two-pass methodology, citation contract, time-context heuristic. Read for research tasks.references/fetch-fidelity.md— engine trade-offs, fidelity guarantees, when not to fetch. Read before presenting extracted content.references/extract-and-rank.md— extract vs fetch, when to rank, session composition patterns. Read for multi-step workflows.references/provider-quirks.md— env vars, provider schemas, retry policy, debugging. Read when configuring or debugging.
What ships with it
15 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.
- .env.search.template 2.6 KB
- .gitignore 132 B
- references/extract-and-rank.md 2.6 KB
- references/fetch-fidelity.md 4.7 KB
- references/provider-quirks.md 3.1 KB
- references/search-discipline.md 5.9 KB
- scripts/_http.py 19 KB runs code
- scripts/_prompts.py 8.9 KB runs code
- scripts/_session.py 4.7 KB runs code
- scripts/agentic_extract.py 5.9 KB runs code
- scripts/agentic_fetch.py 8.3 KB runs code
- scripts/agentic_get_sources.py 2.5 KB runs code
- scripts/agentic_map.py 4.1 KB runs code
- scripts/agentic_rank.py 7.6 KB runs code
- scripts/agentic_search.py 35 KB runs code
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 · 59 lines · 103 tokens per session scan A f1504010e1d9
agentic-search is a skill published in the GitHub repository appautomaton/webmaton (20 stars, last pushed 1mo ago), licensed MIT. It adds 103 tokens to every session and 839 once invoked, about $0.0004 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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