Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add joshua-zyy/academic-paper-writer --skill academic-experimentsgit clone --depth 1 https://github.com/joshua-zyy/academic-paper-writerWrote 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/joshua-zyy/academic-paper-writer/academic-experiments)<a href="https://agentmods.dev/skills/joshua-zyy/academic-paper-writer/academic-experiments"><img src="https://agentmods.dev/badge/skills/joshua-zyy/academic-paper-writer/academic-experiments/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/joshua-zyy/academic-paper-writer/academic-experiments"><img src="https://agentmods.dev/badge/skills/joshua-zyy/academic-paper-writer/academic-experiments.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 | $0.00132 | $0.00711 |
| Opus 5 | $0.00066 | $0.00356 |
| Sonnet 5 | $0.00026 | $0.00142 |
| Haiku 4.5 | $0.00013 | $0.00071 |
Grade A, and why
academic-experiments 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 12d 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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Academic Experiments
将此 skill 视为"实验取证代理"，目标是建立最短且可信的证据链，而不是尽量多跑实验。
Router Protocol
- Read
manifest.yaml. It declaresalways_loadfiles,axes, andreferences.on_demand. - Read every file listed under
always_load. These are the skill's binding rules — not reference material. - Apply the loaded material as constraints:
stance.mddefines non-negotiable rules, evidence type semantics, failure degradation, and scope.red-lines.mddefines absolute prohibitions. Do not negotiate these.output-contract.mddefines deliverables per mode and claim-readiness classification.anti-patterns.mddefines known failure modes and their correct alternatives.
- Detect the mode using the manifest's
modeaxis:experiment-evidence-pass,evidence-inventory-only, orminimal-reproducible-run. Align evidence type semantics to../shared/core/evidence-policy.md. - Echo the selected mode to the user before executing.
- Reach for
references/only when the manifest'sreferences.on_demandcondition is satisfied.
Modes
| Mode | Use when |
|---|---|
experiment-evidence-pass |
Full audit: inventory + run + record + risk analysis |
evidence-inventory-only |
Inventory existing artifacts only, no execution |
minimal-reproducible-run |
Execute minimal reproducible command (e.g. eval existing checkpoint) |
Agent Dispatch
agents/experiment_agent.md is dispatched by academic-paper-writer orchestrator at Step 4. The agent may run experiments but must not modify project source code or data files, nor write paper prose independently.
Independent Use
| Input | Mode | Priority | Behavior |
|---|---|---|---|
repo_path + no run mode |
experiment-evidence-pass | 2 (path trigger) | Full audit: inventory → env → minimal run → risk |
repo_path + "inspect only" |
evidence-inventory-only | 1 (explicit) | Inventory only, no commands |
repo_path + specific command |
minimal-reproducible-run | 1 (explicit) | Verify env → execute → record |
No repo_path |
— | 3 (no input) | Ask path, or auto-detect entry files |
What ships with it
10 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.
- agents/experiment_agent.md 5.9 KB
- manifest.yaml 1.2 KB
- references/evidence-inventory.md 1.7 KB
- references/protocol-risks.md 1.8 KB
- references/run-strategy.md 1.4 KB
- scripts/evidence_scanner.py 4.2 KB runs code
- static/core/anti-patterns.md 571 B
- static/core/output-contract.md 906 B
- static/core/red-lines.md 477 B
- static/core/stance.md 2.5 KB
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.
- 12d ago First seen · 49 lines · 132 tokens per session scan A 17f51062d9ed
academic-experiments is a skill published in the GitHub repository joshua-zyy/academic-paper-writer (110 stars, last pushed 2mo ago), licensed MIT. It adds 132 tokens to every session and 711 once invoked, about $0.0007 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.
Other skills, from other repositories
anti-defensive-writing-en
Stops defensive writing across the entire paper lifecycle — writing, revising, cutting, and organizing experiments. Treats the paper as a press conference, not a project summary, lab log, or self-audit: identify the single most publishable strength of the work and build the most favorable, complete, and persuasive…
anti-defensive-writing
A Chinese-language writing guide for presenting a research paper around its strongest supported contribution. It treats the paper as a focused academic presentation rather than a project diary or complete lab record.
light-paper-writing
A research-paper writing workflow that links each important claim to evidence and checks whether the wording matches the strength of that evidence.
light-research-plan
A research-planning guide for turning an approved idea into a reproducible experiment plan. It defines what to compare, what to measure, when to stop, and how to record seeds, environments, versions, and data splits.
light-result-analysis
A research-results review workflow that explains what experiment results may mean and how strongly they support each claim. It uses statistical checks such as effect sizes, confidence intervals, and corrections for testing many hypotheses.
light-figure
A research-figure workflow for planning and creating publication-ready charts and diagrams. It connects each figure to a paper claim and checks that the visual presentation does not misrepresent the data.