Borrowing it
Nothing to install: this file belongs to 1cFE/fusion-tea. 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/1cFE/fusion-tea/main/.claude/skills/concept-research-navigation/SKILL.mdgit clone --depth 1 https://github.com/1cFE/fusion-teaWrote 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/1cfe/fusion-tea/concept-research-navigation)<a href="https://agentmods.dev/skills/1cfe/fusion-tea/concept-research-navigation"><img src="https://agentmods.dev/badge/skills/1cfe/fusion-tea/concept-research-navigation/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/1cfe/fusion-tea/concept-research-navigation"><img src="https://agentmods.dev/badge/skills/1cfe/fusion-tea/concept-research-navigation.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 | $0.00111 | $0.01303 |
| Opus 5.5 | $0.00044 | $0.00521 |
| Sonnet 5.5 | $0.00022 | $0.00261 |
| Haiku 4.5 | $0.00011 | $0.00130 |
Grade A, and why
concept-research-navigation 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 2mo 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Concept Research Navigation
Methodology for finding, evaluating, and using concept research data in knowledge/concept_research/.
Core Principle
Research data is evidence, not truth. Every source has a quality tier and an extraction method. Dossiers synthesize across sources but are not authoritative for specific claims. Individual sources are authoritative for what they contain, but text extraction is lossy — images may hold data the text doesn't. Always trace quantitative claims to the most authoritative representation available.
Data Layout (Brief)
For full directory structure, R2 sync setup, and format details, see knowledge/concept_research/README.md. Minimal orientation:
- Concept directories:
knowledge/concept_research/{concept-id}/(e.g.,11-magnetic-mirror/) - Start with
{concept-id}/dossier.mdfor synthesized overview - Evidence in
{concept-id}/iter-NN/sources/*.md— check ALL iterations
Source Discovery Protocol
To find research for a given concept:
- If you know the concept ID: go to
knowledge/concept_research/{concept-id}/ - If you don't: check
knowledge/concept_research/SOURCE_INDEX.md, or globknowledge/concept_research/*/dossier.md - Read
dossier.mdfor orientation — what the concept is, key parameters, which sources exist - Find evidence in
iter-NN/sources/*.md— check ALL iterations, later ones may add new sources - For each source, check if companion directory
iter-NN/sources/{name}/exists. Its presence indicates richer data: images, original artifacts (raw.html/raw.pdf), and extraction metrics
Source Evaluation
Three quality tiers. How to identify and how much to trust:
| Tier | How to identify | Trust level |
|---|---|---|
| Direct extraction | YAML frontmatter with source:, backend:, content_hash_sha256: |
Authoritative for what it contains. Text may be lossy — verify quantitative data against images. |
| Haiku paraphrase | No YAML frontmatter, starts with # Title directly (or is a .orig.md file) |
Lossy summary by Haiku. Specific numbers and technical details may be wrong. Flag as unverified if citing values. |
| Dossier | dossier.md at concept root |
Synthesized overview. Good for orientation. Do NOT treat as authoritative for specific numbers — trace claims to individual sources. |
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.
- 2mo ago First seen · 100 lines · 111 tokens per session scan A e1cf5306346a
concept-research-navigation is a skill published in the GitHub repository 1cFE/fusion-tea (5 stars, last pushed 24d ago), licensed MIT. It adds 111 tokens to every session and 1,303 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 2026-08-31.
concept-research-navigation compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| concept-research-navigation1cFE/fusion-tea | Skill | 5 | 24d ago | MIT | A | 111 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |