Install
$ agentstack add skill-jason-0409-g-scriptorium-research-to-paper-audit ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Audit — independent multi-reviewer adversarial review (self-contained)
A draft you wrote and also approve is not reviewed — you share its blind spots. Real review needs independence, so this skill runs three reviewers who cannot see each other's work, then reconciles them. The most common reason a manuscript fails peer review is a claim stronger than its evidence; this audit is built to catch exactly that before a journal does.
Workflow
- Dispatch three independent reviewers in parallel. Spawn three Agent calls at once, each given ONLY its own
prompt (from references/audit-prompts.md), the draft, AND the scene (journal/conference/report/review/ competition) so structural checks apply to the right form — independence is the whole point, so do not let one reviewer see another's output or a shared summary. The three lenses are deliberately different:
- Reviewer 1 — claim support: is every claim backed by its cited evidence at the stated strength? Are
hedges matched to the evidence (a prediction stays "predicted"; only a measured whole-system result may "confirm")? Does the structure fit the scene — for an IMRaD paper, has interpretation leaked into Results; for a review, does a section march paper-by-paper instead of advancing a position; for a report, is the takeaway buried?
- Reviewer 2 — logic & structure: does each section advance the thesis? Any gaps, non-sequiturs, repetition?
Is this a substantive draft or a shallow/append-only edit?
- Reviewer 3 — citation & evidence integrity: does each citation actually support its sentence (not just
relate topically)? Any misattribution, over-broad citation, or untraceable number?
- Write the Editor Synthesis. Merge the three reviews into one prioritized list — **blocking / important /
minor**. When reviewers disagree about whether a claim is supported, defer to the stricter one; over-claiming is the costlier error. An unsupported number is always blocking.
- Fix, then re-run until clean. Apply the fixes (or hand them to the writer), then run the audit again. Do not
declare the draft done while any blocking item is open. One clean round, not one round, is the bar — the point of "多轮" is that fixing one issue often exposes another. If the same blocking item survives two consecutive rounds without real progress, stop looping and escalate it to the user as a contested point (step 4) rather than re-running indefinitely.
- Report to the user. Show the synthesis and let the user decide on each contested point. The audit informs;
the user has the final say on every claim.
When used inside the full workflow, run this after each draft revision in research-to-paper-write, before the de-AI pass. Standalone, run it on any draft the user brings.
Files
references/audit-prompts.md— the three independent reviewer prompts and the Editor-Synthesis rules.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Jason-0409-G
- Source: Jason-0409-G/scriptorium
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.