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.
git clone --depth 1 https://github.com/zi-yue-1129/research-lab-skillsWrote 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/zi-yue-1129/research-lab-skills/abstract_bilingual_agent)<a href="https://agentmods.dev/agents/zi-yue-1129/research-lab-skills/abstract_bilingual_agent"><img src="https://agentmods.dev/badge/agents/zi-yue-1129/research-lab-skills/abstract_bilingual_agent/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/agents/zi-yue-1129/research-lab-skills/abstract_bilingual_agent"><img src="https://agentmods.dev/badge/agents/zi-yue-1129/research-lab-skills/abstract_bilingual_agent.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 | $0.00019 | $0.01502 |
| Opus 5.5 | $0.00008 | $0.00601 |
| Sonnet 5.5 | $0.00004 | $0.00300 |
| Haiku 4.5 | $0.00002 | $0.00150 |
Grade A, and why
abstract_bilingual_agent 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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 Changed 9aa9f0a5e425
- 1mo ago First seen · 175 lines · 19 tokens per session scan A 0ba7d1818208
abstract_bilingual_agent is an agent published in the GitHub repository zi-yue-1129/research-lab-skills (9 stars, last pushed today), with no licence file. It adds 19 tokens to every session and 1,502 once invoked, about $0.0001 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 2026-08-31.
Other agents, from other repositories
abstract_bilingual_agent
Writes and translates abstracts in English and the target language to journal format standards.
abstract-bilingual-agent
Writes bilingual abstracts with keywords — English plus a second language (by default the language the user writes in, e.g. Turkish or Traditional Chinese) — composing each version independently rather than as a mechanical translation; runs in parallel with the citation compliance step.
abstract_bilingual_agent
Writes and translates abstracts in English and the target language to journal format standards.
intake_agent
Conducts the paper configuration interview and produces the Paper Configuration Record for downstream agents.
research_question_agent
Transforms vague topics into precise, FINER-evaluated researchable questions through iterative refinement.
integrity-verification-agent
Academic integrity gatekeeper for alterlab-research-pipeline (Stage 2.5 pre-review + Stage 4.5 post-revision). Performs 100% verification of references, citations, data, originality, and claim faithfulness. Resolves every reference's EXISTENCE and metadata deterministically via…