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 beita6969/ScienceClaw --skill dblp-searchgit clone --depth 1 https://github.com/beita6969/ScienceClawWrote 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/beita6969/scienceclaw/dblp-search)<a href="https://agentmods.dev/skills/beita6969/scienceclaw/dblp-search"><img src="https://agentmods.dev/badge/skills/beita6969/scienceclaw/dblp-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/beita6969/scienceclaw/dblp-search"><img src="https://agentmods.dev/badge/skills/beita6969/scienceclaw/dblp-search.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 | $0.00044 | $0.00764 |
| Opus 5 | $0.00022 | $0.00382 |
| Sonnet 5 | $0.00009 | $0.00153 |
| Haiku 4.5 | $0.00004 | $0.00076 |
Grade C, and why
dblp-search scanned grade C with 2 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 8d 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -s "https://dblp.org/search/publ/api?q=attention+is+all+you+need&format=json&h=5" | python3 -c " Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
metadata: { "openclaw": { "emoji": "💻", "requires": { "bins": ["curl"] } } } How it starts
The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DBLP Search Skill
Query the DBLP computer science bibliography for publications, authors, and venues.
When to Use
- "Find papers by this CS researcher"
- "List publications from ICML 2024"
- "Search for papers on transformer architectures"
- "Get author's full publication list"
When NOT to Use
- Non-CS publications (use semantic-scholar or openalex)
- Citation counts or impact metrics (use semantic-scholar)
- Full-text paper access (use arxiv-search)
Setup
No API key required. Public REST API.
API Base
https://dblp.org/search/
Common Commands
Search Publications
# Search by keyword
curl -s "https://dblp.org/search/publ/api?q=attention+is+all+you+need&format=json&h=5" | python3 -c "
import json,sys
data=json.load(sys.stdin)
for hit in data['result']['hits'].get('hit',[]):
info=hit['info']
print(f\"Title: {info.get('title','')}\")
print(f\"Authors: {', '.join(a.get('text','') for a in info.get('authors',{}).get('author',[]))}\")
print(f\"Venue: {info.get('venue','')}, Year: {info.get('year','')}\")
print()
"
# Filter by year
curl -s "https://dblp.org/search/publ/api?q=large+language+model+year%3A2024&format=json&h=10"
Search Authors
# Find author
curl -s "https://dblp.org/search/author/api?q=Yoshua+Bengio&format=json&h=5"
# Get author's publication list
curl -s "https://dblp.org/pid/b/YoshuaBengio.xml?format=json" | python3 -c "
import json,sys
data=json.load(sys.stdin)
pubs=data.get('dblpperson',{}).get('r',[])[:10]
for p in pubs:
entry=list(p.values())[0] if isinstance(p,dict) else {}
print(f\"{entry.get('year','')} - {entry.get('title','')}\")
"
Search Venues
# Find conference/journal
curl -s "https://dblp.org/search/venue/api?q=NeurIPS&format=json&h=5"
Pagination
# h = results per page, f = first result index
curl -s "https://dblp.org/search/publ/api?q=graph+neural+network&format=json&h=20&f=0"
curl -s "https://dblp.org/search/publ/api?q=graph+neural+network&format=json&h=20&f=20"
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.
- 8d ago First seen · 95 lines · 44 tokens per session scan C 2310c5ebdde3
dblp-search is a skill published in the GitHub repository beita6969/ScienceClaw (898 stars, last pushed 3mo ago), licensed MIT. It adds 44 tokens to every session and 764 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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