Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/Jamie-BitFlight/claude_skillsnpx agentmods add skills/jamie-bitflight/claude_skills/knowledge-explorerWrote 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/jamie-bitflight/claude_skills/knowledge-explorer)<a href="https://agentmods.dev/skills/jamie-bitflight/claude_skills/knowledge-explorer"><img src="https://agentmods.dev/badge/skills/jamie-bitflight/claude_skills/knowledge-explorer.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Prompt Injection · line 135 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
- medium MCP Rug Pull · line 263 uvx/uv tool run commands without ==version create a rug-pull risk.Fix: Pin the version: uvx package-name==1.2.3
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 | $0.00124 | $0.03548 |
| Opus 5 | $0.00062 | $0.01774 |
| Sonnet 5 | $0.00025 | $0.00710 |
| Haiku 4.5 | $0.00012 | $0.00355 |
Grade A, and why
knowledge-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 8d 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 — 362 lines — stays where its author put it; the contents beside it link to each section on GitHub.
knowledge-explorer
Manages entries in research/ — a knowledge base of verified research on tools, libraries, and frameworks. The script is research/knowledge-explorer.py (PEP 723, run via uv run).
KB root: research/ relative to repo root. Each entry is a .md file inside a category subdirectory (e.g., research/agent-frameworks/agno.md).
Script invocation
uv run research/knowledge-explorer.py [--verbose] <command> [args]
--verbose / -v prints tracebacks on error.
Commands
list
Browse all KB entries grouped by category with freshness metadata.
uv run research/knowledge-explorer.py list [--layer 0|1|2]
Options:
--layer/-l: Filter by SDLC layer (0=process, 1=language, 2=stack). See plugins/development-harness/docs/sdlc-layers/.
Observed output (2026-02-22, truncated):
research/
+-- agent-frameworks/ (8 entries, 0 overdue)
| +-- agno.md v2.4.7 · verified 2026-01-31 · review 2026-05-01
| +-- bmad-method.md 6.0.0-Beta.4 · verified 2026-02-01 · review 2026-05-01
+-- developer-tools/ (19 entries, 0 overdue)
| +-- github-cli.md v2.64.0 · verified 2026-02-20 · review 2026-05-20
Each entry shows: filename, version, verified date, next-review date, and [OVERDUE] when next_review < today. Categories show total entry count and overdue count. Running the script with no subcommand also invokes list.
show-template
Print the skill-spec frontmatter template for new entries.
uv run research/knowledge-explorer.py show-template
Observed output (2026-02-22):
---
name: kebab-case-identifier
description: >-
Verified reference for <topic>. Use when configuring or working with
<topic> in deployments. Max 1024 chars.
license: MIT
metadata:
topic: kebab-case-identifier
category: category-dir-name # one of: agent-frameworks, agent-infrastructure, ...
source_url: https://...
github: owner/repo
version: "1.0.0"
verified: "2026-02-22"
next_review: "2026-05-23"
tags: "tag1,tag2"
---
# Display Name
[Body content here]
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.
- 8d ago First seen · 362 lines · 124 tokens per session scan A 6d389e840017
knowledge-explorer is a skill published in the GitHub repository Jamie-BitFlight/claude_skills (66 stars, last pushed today), licensed MIT. It adds 124 tokens to every session and 3,548 once invoked, about $0.0006 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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