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Academic Experiments

skill-joshua-zyy-academic-paper-writer-academic-experiments · by joshua-zyy

Audit, run, or verify experimental evidence for CS/AI/ML papers. Produces Evidence Inventory with evidence_type annotations (newly_run/preexisting_artifact/user_claim) and Protocol Risk assessments. Use when: checking if experiment results are reproducible, auditing existing experiment artifacts, running minimal reproducible commands, evaluating checkpoints without full retraining, documenting pr…

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Install

$ agentstack add skill-joshua-zyy-academic-paper-writer-academic-experiments

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

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

  1. Read manifest.yaml. It declares always_load files, axes, and references.on_demand.
  2. Read every file listed under always_load. These are the skill's binding rules — not reference material.
  3. Apply the loaded material as constraints:
  • stance.md defines non-negotiable rules, evidence type semantics, failure degradation, and scope.
  • red-lines.md defines absolute prohibitions. Do not negotiate these.
  • output-contract.md defines deliverables per mode and claim-readiness classification.
  • anti-patterns.md defines known failure modes and their correct alternatives.
  1. Detect the mode using the manifest's mode axis: experiment-evidence-pass, evidence-inventory-only, or minimal-reproducible-run. Align evidence type semantics to ../shared/core/evidence-policy.md.
  2. Echo the selected mode to the user before executing.
  3. Reach for references/ only when the manifest's references.on_demand condition 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 |

| Scenario | Recommended | |---|---| | Just auditing/reproducing evidence | This skill (standalone) | | Writing results into paper prose | academic-paper-writer orchestrator | | Draft results need verification | This skill → academic-reviser |

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.