Borrowing it
Nothing to install: this file belongs to PrisonBreakPB/control-science-literature-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/PrisonBreakPB/control-science-literature-mcp/main/.agents/skills/control-literature-search/SKILL.mdgit clone --depth 1 https://github.com/PrisonBreakPB/control-science-literature-mcpWrote 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/prisonbreakpb/control-science-literature-mcp/control-literature-search)<a href="https://agentmods.dev/skills/prisonbreakpb/control-science-literature-mcp/control-literature-search"><img src="https://agentmods.dev/badge/skills/prisonbreakpb/control-science-literature-mcp/control-literature-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/prisonbreakpb/control-science-literature-mcp/control-literature-search"><img src="https://agentmods.dev/badge/skills/prisonbreakpb/control-science-literature-mcp/control-literature-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 | $0.00069 | $0.00721 |
| Opus 5 | $0.00034 | $0.00360 |
| Sonnet 5 | $0.00014 | $0.00144 |
| Haiku 4.5 | $0.00007 | $0.00072 |
Grade A, and why
control-literature-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 11d 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Control Literature Search
Use this skill to turn a control-science research question into a traceable candidate paper list from the configured core journal collection.
This skill requires the search_control_science_papers tool from Control
Science Literature MCP. If that tool is unavailable, explain that the MCP
server must be installed and enabled. Do not substitute another search tool.
Scope
- Search only the configured control science and engineering journal collection.
- Use English search queries. Translate Chinese research topics before searching.
- Do not call web, arXiv, PDF, browser, file, shell, or validation tools.
- Do not claim coverage of conference papers, preprints, or journals outside the configured collection.
- Treat returned abstracts and metadata as search evidence, not as sufficient evidence for detailed method, theorem, or research-gap claims.
Workflow
- Restate the research target in one sentence.
- Extract 3-8 core concepts. Include focused control-domain variants where
useful, such as
networked control systems,event-triggered control,robust control,model predictive control,Lyapunov stability,LMI,multi-agent systems, orcontrol barrier functions. - Translate Chinese concepts to concise English keywords.
- Call
search_control_science_paperswith the most direct query first. - For a broad topic, run up to three focused query variants. Use
citationswhen the user asks for influential work anddatewhen they ask for recent work. - Deduplicate obvious repeated titles and present the candidates with their returned metadata.
- State that the results are limited to the configured control science and engineering journal collection. If the results are thin, say that this collection may not cover the requested venue or paper type.
Tool Parameters
query(required): English research keywords.max_results: Number of papers to return, from 1 to 20.sort:relevance,citations, ordate.year_from/year_to: Optional inclusive publication-year bounds.language: Optional lower-case ISO language code; defaults toen.
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.
- 11d ago First seen · 83 lines · 69 tokens per session scan A 366a2532d7db
control-literature-search is a skill published in the GitHub repository PrisonBreakPB/control-science-literature-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 69 tokens to every session and 721 once invoked, about $0.0003 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 2026-08-31.
Other skills, from other repositories
instrument-data-to-allotrope
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…
matlab
Build, review, migrate, and safely plan MATLAB or GNU Octave numerical workflows, including arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.
exploratory-data-analysis
Perform bounded, local exploratory analysis of explicitly supported scientific files. Use for redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain…
phylogenetics
Build and analyze phylogenetic trees using MAFFT (multiple alignment), IQ-TREE 2 (maximum likelihood), and FastTree (fast NJ/ML). Visualize with ETE3 or FigTree. For evolutionary analysis, microbial genomics, viral phylodynamics, protein family analysis, and molecular clock studies.
research-engineer
An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.
mapping-to-snomed
Maps clinical concept spans extracted by OpenMed to SNOMED CT concepts through a USER-SUPPLIED terminology server (the user's own Ontoserver, Snowstorm, or UMLS/UTS), never a bundled vocabulary. Use when the user wants to code findings, disorders, procedures, body structures, or substances to SNOMED CT, run an ECL…