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Agent skill · Audited from source

Survey Visuals

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: Draft non-prose visuals artifacts (timeline, figure specs) for a survey, grounded in evidence and using citation keys from `citations/ref.bib`.

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ModelsAtlas. “Survey Visuals (WILLOSCAR/research-units-pipeline-skills)”. Retrieved 19 Oct 2026. https://modelsatlas.com/skills/willoscar/survey-visuals

Trust audit

Audit 0.4.1 · source read 19 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high1 medium1 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 codePASS0
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 (2)

LOWInventory / provenanceinv.no_license
F-13 Inventory / provenanceCWE-1104Layer L0
Why
no LICENSE file and no repo licence
Fix
add a licence

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/survey-visualsThe 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: Draft non-prose visuals artifacts (timeline, figure specs) for a survey, grounded in evidence and using citation keys from `citations/ref.bib`.

---
name: survey-visuals
binding: library
description: "Draft non-prose visuals artifacts (timeline, figure specs) for a survey, grounded in evidence and using citation keys from `citations/ref.bib`."
---

# Survey Visuals (timeline + figure specs; NO PROSE)

## Triggers & routing

- **Trigger**: survey visuals, timeline, figures, visuals, 图表, 时间线, figure spec.
- **Use when**: survey 的 C4(NO PROSE),已有 outline + claim/evidence + citations,需要先把时间线/图规格落盘。


This skill creates non-prose artifacts that make the writing stage less template-y:
- timeline / evolution bullets
- figure specs (what to draw, why it matters, what papers support it)

## Load Order

Always read:
- `references/overview.md`
- `references/figure_archetypes.md`

Read by task:
- `references/timeline_patterns.md` when building timeline milestones

Machine-readable assets:
- `assets/figure_templates.yaml` — figure archetype specifications (extensible without code changes)

## Script Boundary

Use `scripts/run.py` only for:
- deterministic assembly of timeline bullets from paper_notes + bibkeys
- table generation from outline + mapping
- figure spec skeleton generation using `assets/figure_templates.yaml`

Do not treat `run.py` as the place for:
- hardcoded figure descriptions or narratives
- milestone selection heuristics that should be inspectable from references

Tables are handled by dedicated table skills:
- `table-schema` -> `outline/table_schema.md`
- `table-filler` -> `outline/tables_index.md` (internal index)
- `appendix-table-writer` -> `outline/tables_appendix.md` (reader-facing Appendix tables)

## Inputs

- `outline/outline.yml`
- `outline/claim_evidence_matrix.md`
- `papers/paper_notes.jsonl`
- `citations/ref.bib`

## Outputs

- `outline/timeline.md`
- `outline/figures.md`

## Workflow inputs (explicit)

- Use `outline/outline.yml` + `outline/claim_evidence_matrix.md` to decide what to visualize.
- Use `papers/paper_notes.jsonl` for year/milestone candidates.
- Use only citation keys from `citations/ref.bib`.

## Workflow (heuristic)

1) Read the outline + claim-evidence matrix and pick recurring comparison axes.
2) Timeline (`outline/timeline.md`):
   - Write year -> key milestone bullets (aim for breadth and citations).
3) Figures (`outline/figures.md`):
   - Write 2-4 figure specs that a human could draw:
     - purpose (what insight this figure communicates)
     - required elements (boxes/arrows/axes)
     - what papers support each element (cite keys)
4) Use only citation keys present in `citations/ref.bib`.

## Quality checklist

- [ ] No `TODO` and no `<!-- SCAFFOLD ... -->` markers remain in the outputs.
- [ ] `outline/timeline.md` contains >=8 year bullets and each bullet has >=1 citation marker `[@...]`.
- [ ] `outline/figures.md` contains >=2 figure specs and each mentions at least one supporting citation.

## Helper script (optional)

### Quick Start

- `uv run python .codex/skills/survey-visuals/scripts/run.py --help`
- `uv run python .codex/skills/survey-visuals/scripts/run.py --workspace <workspace>`

### All Options

- `--workspace <workspace>` (required)
- `--unit-id <id>` (optional; used only for runner bookkeeping)
- `--inputs <a;b;c>` (optional; defaults to the four Inputs listed above)
- `--outputs <timeline_rel;figures_rel>` (optional; defaults to `outline/timeline.md;outline/figures.md`)
- `--checkpoint <C#>` (optional; ignored by the helper)

### Examples

- Generate timeline + figures with defaults:

  `uv run python .codex/skills/survey-visuals/scripts/run.py --workspace <workspace>`

- Generate to custom output paths:

  `uv run python .codex/skills/survey-visuals/scripts/run.py --workspace <workspace> --outputs outline/timeline.md;outline/figures.md`

### Notes

- The helper is intentionally minimal and never overwrites non-placeholder artifacts.
- In strict mode it blocks only if placeholder markers remain (and if minimum timeline/figure requirements are not met).

## Troubleshooting

### Issue: timeline is thin or citation-free

Fix:
- Prefer fewer, higher-signal milestones, but ensure each bullet has >=1 `[@...]`.
- Route upstream if notes are thin: strengthen `paper-notes` / `evidence-draft` rather than padding.

### Issue: figure specs read like prose

Fix:
- Keep specs as draw-instructions: purpose + elements + what each element is supported by (cite keys).
- Move narrative explanation into the main text; this file should stay non-prose.

Excerpt, first 4,428 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 ↗
uv run python .codex/skills/survey-visuals/scripts/run.py --workspace <workspace>
uv run python .codex/skills/survey-visuals/scripts/run.py --workspace <workspace> --outputs outline/timeline.md;outline/fig

Commands as the repository documents them: shown, never run by us. 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

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Questions about Survey Visuals

What does the Survey Visuals 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 Survey Visuals 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 Survey Visuals access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does Survey Visuals 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.

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