Borrowing it
Nothing to install: this file belongs to RipeMangoBox/BITE. 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/RipeMangoBox/BITE/main/.claude/skills/code-context-paper-retrieval/SKILL.mdgit clone --depth 1 https://github.com/RipeMangoBox/BITEWrote 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/ripemangobox/bite/code-context-paper-retrieval)<a href="https://agentmods.dev/skills/ripemangobox/bite/code-context-paper-retrieval"><img src="https://agentmods.dev/badge/skills/ripemangobox/bite/code-context-paper-retrieval/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/ripemangobox/bite/code-context-paper-retrieval"><img src="https://agentmods.dev/badge/skills/ripemangobox/bite/code-context-paper-retrieval.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00108 | $0.01219 |
| Opus 5.5 | $0.00043 | $0.00488 |
| Sonnet 5.5 | $0.00022 | $0.00244 |
| Haiku 4.5 | $0.00011 | $0.00122 |
Grade A, and why
code-context-paper-retrieval 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.
How it starts
The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Context Paper Retrieval
This skill is a compatibility alias for papers-query-knowledge-base in
mode: code-context. Prefer that query mode for new routing and keep this
skill for older prompts that call it by name.
What this skill does
For code implementation/refactor/planning tasks, this skill provides the most relevant paper evidence from the local knowledge base for the current code context.
Fixed retrieval order:
obsidian-vault/analysis/(primary retrieval and evidence layer)obsidian-vault/paperPDFs/(recommend deeper reading only when necessary)obsidian-vault/index/(useindex.jsonlfor fast filtering when present; otherwise reference the Markdown pages only when statistics, overview pages, Obsidian jumps, or backlink support are needed)
Two output levels:
brief: 3-5 must-read papers + analysis note path + whether PDF reading is recommendeddeep: broader candidate list + comparison rationale + practical implementation suggestions
Environment Detection (must be completed before execution)
Before running any script, the Python environment must be confirmed. Check in this priority order:
- Environment files in the target codebase (high to low):
environment/environment.yml/environment.yaml(conda)environment/requirements.txt/requirements*.txtenvironment/pyproject.toml(check[project.dependencies]or[tool.poetry.dependencies])setup.py/setup.cfg
- Infer conda env name from environment files: read
name:inenvironment/environment.ymland check whether that env exists (conda env list). - If none found or still uncertain: proactively ask the user, stating no environment file was found, and request one of:
- conda environment name, or
- Python interpreter path, or
- confirmation to use system default Python
Prohibited behavior: do not guess and run scripts with python3/python before environment confirmation.
Triggering
Core principle: retrieve before code changes, not after
What ships with it
2 files 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.
- 1mo ago First seen · 120 lines · 108 tokens per session scan A 32a60b501be8
code-context-paper-retrieval is a skill published in the GitHub repository RipeMangoBox/BITE (62 stars, last pushed 2mo ago), licensed MIT. It adds 108 tokens to every session and 1,219 once invoked, about $0.0004 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 2026-08-30.
Other skills, from other repositories
llm-wiki
Explain and apply the foundational LLM Wiki architecture and knowledge-management strategy. Use for setup, architecture, schema, or organization decisions; operational ingest/query/lint work uses dedicated skills.
wiki-lint
Audit wiki health: broken links, orphans, contradictions, stale content, lifecycle and tag issues. Use for maintenance or health checks. Default is report-only; use wiki-dedup for page-identity merges.
wiki-export
Export the Obsidian wiki graph to JSON, GraphML, Neo4j Cypher, Postgres/SQL, HTML, or OKF bundles. Use when transferring or visualizing wiki data in external tools; wiki-import handles the reverse direction.
wiki-status
Report wiki ingestion/completeness state, pending source delta, structural insights, or maintenance equilibrium. Use for remaining-work/status questions, hubs and bridges, or whether maintenance skills still have pending changes. wiki-digest summarizes learned knowledge instead.
wiki-query
Search and synthesize answers from the compiled Obsidian wiki, including cited and multi-hop answers. Use for questions about existing wiki knowledge or fast index-only lookups, and for challenge requests ("challenge this", "argue against X", "poke holes in my plan") that look for the vault's own evidence against a…
wiki-import
Import a wiki graph into the current vault from graph.json or an OKF/markdown bundle. Use for transferring previously exported wiki content between vaults; pair with wiki-export for the reverse direction.