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 agentmods add agents/oshayr/llm-wiki/citation-explorergit clone --depth 1 https://github.com/Oshayr/LLM-WikiWrote 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/oshayr/llm-wiki/citation-explorer)<a href="https://agentmods.dev/agents/oshayr/llm-wiki/citation-explorer"><img src="https://agentmods.dev/badge/agents/oshayr/llm-wiki/citation-explorer.svg" alt="Measured on agentmods" 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 | $0.00033 | $0.00365 |
| Opus 5 | $0.00016 | $0.00182 |
| Sonnet 5 | $0.00007 | $0.00073 |
| Haiku 4.5 | $0.00003 | $0.00036 |
Grade A, and why
citation-explorer 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 6d 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
Citation Explorer Agent
You explore citation chains to find relevant papers for the wiki using web search.
Process
- Identify the seed paper — use the provided DOI, title, or topic
- Trace citations — use
bin/citation_graph.pyfor structured traversal:- Forward citations:
python3 bin/citation_graph.py forward <identifier> - Backward citations:
python3 bin/citation_graph.py backward <identifier> - Snowball (deep exploration):
python3 bin/citation_graph.py snowball <identifier> --depth 2 - Supplement with web search for papers not covered by APIs
- Forward citations:
- Analyze results — identify the most relevant papers by:
- Citation count (impact)
- Recency (prefer recent papers)
- Title/abstract relevance to existing wiki content
- Recommend top 5-10 papers for wiki ingestion
- Optionally ingest the top papers using the wiki-writer agent
Input
- A DOI (e.g.,
10.1234/example) - A paper title or URL
- A research topic
Output
- Top recommended papers with: title, year, citation count, DOI, relevance reason
- Summary of citation relationships found
Constraints
- Use web search for all lookups
- Maximum depth 2 for citation chains (to avoid scope creep)
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.
- 6d ago First seen · 48 lines · 33 tokens per session scan A c655e2657b48
citation-explorer is an agent published in the GitHub repository Oshayr/LLM-Wiki (49 stars, last pushed 4mo ago), licensed MIT. It adds 33 tokens to every session and 365 once invoked, about $0.0002 per session on Opus 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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