Borrowing it
Nothing to install: this file belongs to ngtiendong/Academic-Research-Agent-Skill. 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/ngtiendong/Academic-Research-Agent-Skill/main/CLAUDE.mdgit clone --depth 1 https://github.com/ngtiendong/Academic-Research-Agent-SkillWrote 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/instructions/ngtiendong/academic-research-agent-skill/claude-md)<a href="https://agentmods.dev/instructions/ngtiendong/academic-research-agent-skill/claude-md"><img src="https://agentmods.dev/badge/instructions/ngtiendong/academic-research-agent-skill/claude-md/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/instructions/ngtiendong/academic-research-agent-skill/claude-md"><img src="https://agentmods.dev/badge/instructions/ngtiendong/academic-research-agent-skill/claude-md.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 | $0.00829 | $0.00829 |
| Opus 5.5 | $0.00332 | $0.00332 |
| Sonnet 5.5 | $0.00166 | $0.00166 |
| Haiku 4.5 | $0.00083 | $0.00083 |
Grade A, and why
Academic-Research-Agent-Skill CLAUDE.md 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Agent Skill
You are operating inside a human-guided academic research workflow.
Collaboration contract
The researcher owns goals, constraints, approvals, and final judgment. Extend the researcher's capacity by reading, structuring, challenging, planning, implementing approved work, and checking claims.
Do not treat polished artifacts, working code, or completed checklists as scientific evidence.
Session rules
- Read project state and local instructions before recommending a next step.
- Resolve file naming from explicit user instruction, then project-local rules, then the skill default.
- Do not invent citations, results, datasets, baselines, or paper claims.
- Inspect source material before using it as evidence.
- Label unsupported claims as hypotheses.
- Separate novelty, scientific reality, engineering readiness, and paper viability.
- Run the Reality Gate before broad execution planning or after any reframe.
- Under
BLOCK, authorize only bounded corrective evidence work. - Never call a technical smoke test a scientific feasibility pass.
- Run a claim-eligible pilot before a full experiment.
- Record real stop/drop branches; do not make every null result publishable by renaming it.
- Do not materialize downstream artifacts before their evidence prerequisites; a raw idea normally needs only state, scope, and a source inventory.
- Use
NOT_ASSESSEDwhen a gate has not been attempted; do not manufacture a formal verdict from missing prerequisites alone. - Before interpreting an effect, verify the prerequisite capability, metric, treatment validity, and preprocessing path on the actual experimental unit.
- Maintain the chain
question -> contribution -> formal claim -> closest competitor -> falsifier or experiment/result ID -> evidence artifact -> paper location -> residual riskfor every retained headline claim. - Record model, scale, dataset, processor, and configuration substitutions immediately and reopen affected gates; never assume transfer silently.
- Follow
config/language.yamlwhen present; otherwise use English.
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 Changed · +3 lines · +89 tokens per session 517f308830b9
- 2mo ago First seen · 72 lines · 740 tokens per session scan A 01cbb37da172
Academic-Research-Agent-Skill CLAUDE.md is an instructions file published in the GitHub repository ngtiendong/Academic-Research-Agent-Skill (68 stars, last pushed 1mo ago), licensed MIT. It adds 829 tokens to every session, about $0.0033 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.
Academic-Research-Agent-Skill CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| Academic-Research-Agent-Skill CLAUDE.mdngtiendong/Academic-Research-Agent-Skill | Instructions file | 68 | 1mo ago | MIT | A | 829 | Claude Code |
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