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Agent skill · Audited from source

Front Matter Writer

skill · WILLOSCAR/research-units-pipeline-skillsLicence not declaredAudited 19 Oct 2026 · source 81994516a430

★ 513pushed 14 days ago
✓SAFEGrade B · 89/100 · 19 Oct 2026 · 8199451
513repo stars · whole WILLOSCAR/research-units-pipeline-skills

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 81994516a430 and found no filesystem, network or shell access and no hard-coded secrets. What it does: Write the survey's front matter files (Abstract, Introduction, Related Work, Discussion, Conclusion) in paper voice, with high citation density and a single evidence-policy paragraph.

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Cite this page

ModelsAtlas. “Front Matter Writer (WILLOSCAR/research-units-pipeline-skills)”. Retrieved 19 Oct 2026. https://modelsatlas.com/skills/willoscar/front-matter-writer

Trust audit

Audit 0.4.1 · source read 19 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high1 medium2 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 16,667 of 17,602 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityWARN2
L1 Static sourceSecrets, path traversal, supply chain, hidden codePASS1
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass, no license.

Findings (3)

LOWInventory / provenanceinv.no_license
F-13 Inventory / provenanceCWE-1104Layer L0
Why
no LICENSE file and no repo licence
Fix
add a licence
LOWInsecure cryptocrypto.weak_hash · scripts/run.py:386
F-09 Insecure cryptoCWE-327 · CWE-338Layer L1
digest = hashlib.sha1(seed_key.encode('utf-8', errors='ignore')).hexdigest()
Why
No further detail recorded for this rule.
Fix
—

Audit 0.4.1 · source sha 81994516a430 · 19 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • PublisherWILLOSCAR GitHub userOwner of the repository this skill is read from
  • Source folderWILLOSCAR/research-units-pipeline-skills/.codex/skills/front-matter-writerThe exact folder we audited
  • LicenceNot declaredAs the repository states it
  • Commit pinned for this verdict81994516a430A new audit runs when the source changes
  • Repository statusNot archivedLast push 14 days ago
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Write the survey's front matter files (Abstract, Introduction, Related Work, Discussion, Conclusion) in paper voice, with high citation density and a single evidence-policy paragraph.

---
name: front-matter-writer
description: "Write the survey's front matter files (Abstract, Introduction, Related Work, Discussion, Conclusion) in paper voice, with high citation density and a single evidence-policy paragraph."
---

# Front Matter Writer (compatibility router)

## Triggers & routing

- **Trigger**: front matter writer, introduction writer, related work writer, abstract writer, discussion writer, conclusion writer, 引言, 相关工作, 摘要, 讨论, 结论.


Purpose: produce the paper-level shell while preserving the current output contract and approval gate.

## Load Order

Always read:
- `references/overview.md`

Read by task:
- `references/abstract_archetypes.md` for `sections/abstract.md`
- `references/context_projection.md` when adjusting how chapter briefs are projected into Introduction / Related Work context
- `references/introduction_jobs.md` for Introduction body files
- `references/related_work_positioning.md` for Related Work body files
- `references/discussion_conclusion_patterns.md` for `sections/discussion.md` and `sections/conclusion.md`
- `references/forbidden_stems.md` before revising any reader-facing prose
- `references/examples_good.md` and `references/examples_bad.md` for calibration only

Machine-readable assets:
- `assets/front_matter_context.schema.json`
- `assets/front_matter_context_schema.json` (compatibility alias for checklist-aligned naming)
- `assets/front_matter_contract.json`
- `assets/front_matter_templates.json`
- `assets/front_matter_context_projection.json`

## Inputs

Required:
- `DECISIONS.md` with `Approve C2`
- `outline/outline.yml`
- `outline/mapping.tsv`
- `citations/ref.bib`

Optional but useful:
- `GOAL.md`
- `queries.md`
- `papers/retrieval_report.md`
- `papers/core_set.csv`
- `outline/coverage_report.md`
- `outline/writer_context_packs.jsonl`

## Outputs

Keep the current output contract:
- `sections/abstract.md`
- `sections/S<sec_id>.md` for front-matter H2 bodies
- `sections/discussion.md`
- `sections/conclusion.md`
- `output/FRONT_MATTER_REPORT.md`
- `output/FRONT_MATTER_CONTEXT.json`, including the base template bank, any
  selected domain overlay, and their repository-relative SHA-256 hashes

## Compatibility mode

Current mode is reference-first with script compatibility:
- writing guidance lives in `references/`
- the structured job contract lives in `assets/front_matter_contract.json`
- the hook bank used by the script lives in `assets/front_matter_templates.json`
- `scripts/run.py` still owns approval checks, metadata parsing, deterministic hook selection, file emission, and context-sidecar writing

That means:
- preserve current file shapes and approval behavior
- treat the assets as the active semantic source for section jobs, hook banks, and render guardrails
- avoid moving prose policy back into `SKILL.md`

## Script boundary

Use `scripts/run.py` as a deterministic helper for:
- approval gate enforcement
- front-matter file discovery / path selection
- metadata extraction
- rendering from `assets/front_matter_contract.json` + `assets/front_matter_templates.json`
- writing the report and context sidecar

Do not treat the script as the main place for long-form writing guidance.

## Output shape rules

Keep these stable:
- `sections/abstract.md` starts with `## Abstract` or `## 摘要`
- Introduction / Related Work `sections/S<sec_id>.md` files are body-only
- `sections/discussion.md` includes `## Discussion`
- `sections/conclusion.md` includes `## Conclusion`
- methodology note appears once in normal prose, not as pipeline/process narration

## Quick Start

- `uv run python .codex/skills/front-matter-writer/scripts/run.py --workspace <workspace>`

## Troubleshooting

- If the front matter sounds narrated, reload `references/forbidden_stems.md` and `references/examples_bad.md`.
- If Related Work turns into a survey list, reload `references/related_work_positioning.md`.
- If the asset and the references drift, fix the asset/routing inside this skill package rather than expanding `SKILL.md` again.


## Execution notes

When running this skill in compatibility mode, `scripts/run.py` currently reads these inputs directly:
- `DECISIONS.md` for `Approve C2`
- `outline/outline.yml` to resolve Introduction / Related Work section ids
- `outline/mapping.tsv` for front-matter citation placement context
- `citations/ref.bib` for citation-key scope
- `GOAL.md`, `queries.md`, `papers/retrieval_report.md`, `papers/core_set.csv`, `outline/coverage_report.md`, and `outline/writer_context_packs.jsonl` as optional context sources

## Script

### Quick Start

- `uv run python .codex/skills/front-matter-writer/scripts/run.py --workspace <workspace>`

### All Options

- `--workspace <dir>`
- `--unit-id <id>`
- `--inputs <path1;path2>`
- `--outputs <path1;path2>`
- `--checkpoint <C*>`

### Examples

- `uv run python .codex/skills/front-matter-writer/scripts/run.py --workspace <workspace>`

## Troubleshooting

- If `DECISIONS.md` lacks `Approve C2`, the script will write a checkpoint block and exit.
- If `citations/ref.bib` or `outline/outline.yml` is missing, restore those inputs before rerunning.
- If the front matter feels too template-like, inspect the hook banks / section job graph before touching the script.

Excerpt, first 5,239 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 8199451

Download folder ↗
git clone https://github.com/WILLOSCAR/research-units-pipeline-skills
git -C research-units-pipeline-skills checkout 81994516a430

The author documents no install command, so this uses the repository directly. Our verdict covers commit 81994516a430 only.

Works in which agents?

What its own text says, not a test

AgentStatusMore
CodexMentioned in its text, not testedSkills for Codex · About Codex
“Mentioned” means the skill’s text names the agent. We have not run it there.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source 81994516a430

README badge

For maintainers · shows the latest audit

ModelsAtlas: SAFE BMODELSATLASSAFE · B
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Questions about Front Matter Writer

What does the Front Matter Writer skill do?
Research pipelines as semantic execution units: each skill declares inputs/outputs, acceptance criteria, and guardrails. Evidence-first methodology prevents hollow writing through structured intermediate artifacts.
Is Front Matter Writer safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Front Matter Writer access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does Front Matter Writer work with?
Its documentation mentions codex. That is what the text claims, not a compatibility test we ran.
How current is this page?
The grade is for one exact copy of the source (81994516a430), read on 2026-10-19. The repository is watched, and a new audit runs when it changes — this is the first audit.

Sources

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