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Knowledge Retrieval · open-gitagent | DecimalAI

ai mlby open-gitagent

Knowledge Retrieval

open-gitagent/knowledge-retrieval

Source open-gitagent/opengap ↗License MIT

Semantic search over ingested documents using RAG (LlamaIndex/ChromaDB or Foundational RAG)

SkillScore73Maintained

Automatic

Knowledge Management pack

Last verified 8/10/2026

What it changes

Passed 11 of 15 test cases with the skill, and 8 of 15 without it.

Without skill50%

With skill73%

Checks it passed that the model alone missed

Identifies 8 calls as the maximum call limit per task.
Formats the citation line as 'Citation: system_arch.pdf, p.14'.
Writes the citation line as 'Citation: quantum_computing_eval.pdf, p.42'.

and 3 more in the full report

6 fixed10 passed either way5 still failing1 broke

Pass-rate lift: +23 pp
Tokens: -39%
Agent turns: 0%
Response time: -60%

Model gemini-3.6-flashMeasured 8/10/2026v116 of 22 cases passed with skill · 15 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/open-gitagent-knowledge-retrieval/SKILL.md https://app.decimal.ai/s/open-gitagent-knowledge-retrieval/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add open-gitagent-knowledge-retrieval, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/open-gitagent-knowledge-retrieval/ and pins it in .decimal/skills.lock

decimalai skills add open-gitagent-knowledge-retrieval

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/open-gitagent-knowledge-retrieval/SKILL.md https://app.decimal.ai/s/open-gitagent-knowledge-retrieval/SKILL.md

Raw file: /s/open-gitagent-knowledge-retrieval/SKILL.md ↗ · machine-readable summary at /s/open-gitagent-knowledge-retrieval.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 5

Prompt

If a relevant excerpt is located on page 42 of a whitepaper titled `quantum_computing_eval.pdf`, write out the exact citation line that must accompany the excerpt.

What was checked, without and with the skill
Checked	Without skill	With skill
Writes the citation line as 'Citation: quantum_computing_eval.pdf, p.42'.	Missed	Passed

case-14 · gemini-3.6-flash · 8/10/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md39 linessingle file

Knowledge Retrieval

Perform semantic search over a pre-ingested document collection using Retrieval-Augmented Generation (RAG). Backed by LlamaIndex with ChromaDB or NVIDIA Foundational RAG.

When to Use

Searching internal or pre-ingested documents and reports
Finding information in PDFs, whitepapers, or technical documentation
Retrieving domain-specific knowledge not available on the open web
This is the highest priority source — check the knowledge base first before web or paper searches

How to Use

Formulate a semantic search query describing the information needed
Call knowledge_retrieval with the query
Review returned chunks for relevance
Note the citation metadata (filename, page number) for sourcing

Result Format

Results are returned as text chunks with citation metadata:

Relevant text passage from the ingested document...

Citation: filename.pdf, p.12

Constraints

Searches only over documents that have been ingested into the knowledge index
Returns ranked chunks based on semantic similarity
Citation format: Citation: filename.ext, p.X
Each call counts toward the researcher's 8-call limit per task

Backend Options

LlamaIndex + ChromaDB — Local vector store with LlamaIndex orchestration
NVIDIA Foundational RAG — NVIDIA-hosted RAG service with NeMo Retriever

Track record

Benchmark

11 / 15

test cases passed, vs 8 / 15 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

open-gitagent / opengap

examples/nvidia-deep-researcher/skills/knowledge-retrieval/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

Knowledge Retrieval

When to Use

How to Use

Result Format

Constraints

Backend Options

Track record

Benchmark

Adoption

SkillSafety

Source

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