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 0xmariowu/Autosearch --skill dblpgit clone --depth 1 https://github.com/0xmariowu/AutosearchWrote 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/0xmariowu/autosearch/dblp)<a href="https://agentmods.dev/skills/0xmariowu/autosearch/dblp"><img src="https://agentmods.dev/badge/skills/0xmariowu/autosearch/dblp/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/0xmariowu/autosearch/dblp"><img src="https://agentmods.dev/badge/skills/0xmariowu/autosearch/dblp.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 | $0.00000 | $0.00450 |
| Opus 5 | $0.00000 | $0.00225 |
| Sonnet 5 | $0.00000 | $0.00090 |
| Haiku 4.5 | $0.00000 | $0.00045 |
Grade A, and why
dblp 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 10d 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 — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Attribution
Source: self-written for task Plan-0420 W7 F701 + F702.
name: dblp description: Computer science bibliography search — technical papers, proceedings, and journal articles indexed by venue, author, and year. version: 1 languages: [en] methods:
- id: api_search impl: methods/api_search.py requires: [] rate_limit: {per_min: 30, per_hour: 500} fallback_chain: [api_search] when_to_use: query_languages: [en] query_types: [academic, computer-science, research, technical-paper] avoid_for: [social, multimedia, real-time] quality_hint: typical_yield: medium chinese_native: false layer: leaf domains: [academic] scenarios: [computer-science, author-bibliography] model_tier: Fast experience_digest: experience.md
Overview
dblp is the focused bibliography channel for computer science papers, conference proceedings, and journal articles. It is useful when the query is clearly CS-oriented and benefits from venue, author, and year metadata even when abstracts are unavailable.
When To Choose It
- Choose it for English CS paper discovery, author lookup, venue lookup, and bibliography-style queries.
- Choose it when the planner wants broader CS venue coverage than a single preprint index.
- Avoid it for social discussion, multimedia content, or breaking news.
How To Search
api_searchqueries the DBLP publication API and normalizes hits into evidence with external links when available.- Result snippets are synthesized from authors, venue, year, and record type because DBLP does not provide abstracts.
Known Quirks
- Titles may end with a trailing period in the raw API payload and should be normalized.
- Some hits only expose a DBLP record page while others provide an external DOI landing page.
- Coverage is strongest for computer science and adjacent technical literature, not general scholarly search.
Quality Bar
- Evidence items have non-empty title and url.
- No crash on empty or malformed API response.
- Source channel field matches the channel name.
What ships with it
1 file 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.
- 10d ago First seen · 55 lines · 0 tokens per session scan A 5e17142714d3
dblp is a skill published in the GitHub repository 0xmariowu/Autosearch (43 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 450 tokens. 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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