Agent skill · Audited from source
Section Logic Polisher
skill · WILLOSCAR/research-units-pipeline-skillsLicence not declaredAudited 19 Oct 2026 · source 81994516a430
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: Logic coherence pass for per-H3 section files: enforce a clear paragraph-1 thesis and surface paragraph-island risks (connector stats are diagnostic, not a quota) before merging.
Cite
Cite this page
ModelsAtlas. “Section Logic Polisher (WILLOSCAR/research-units-pipeline-skills)”. Retrieved 19 Oct 2026. https://modelsatlas.com/skills/willoscar/section-logic-polisher
Trust audit
Audit 0.4.1 · source read 19 Oct 2026
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
| Layer | What we check | Result | Findings |
|---|---|---|---|
L0 Provenance | Repo owner, licence, archive status, activity | WARN | 2 |
L1 Static source | Secrets, path traversal, supply chain, hidden code | PASS | 0 |
L2 Instructions | Prompt injection, authority framing, hidden directives | PASS | 0 |
L3 Inventory | The files and declarations match the source | PASS | 0 |
L4 Sandbox | Run in isolation and watch behaviour | SKIPPED why | 0 |
Gates applied: no behavioural pass, no license.
Findings (2)
MEDIUMInventory / provenanceinv.symlink · .claude/skills
.claude/skills
- Why
- link not followed
- Fix
- —
LOWInventory / provenanceinv.no_license
- 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/section-logic-polisherThe 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: Logic coherence pass for per-H3 section files: enforce a clear paragraph-1 thesis and surface paragraph-island risks (connector stats are diagnostic, not a quota) before merging.
---
name: section-logic-polisher
description: "Logic coherence pass for per-H3 section files: enforce a clear paragraph-1 thesis and surface paragraph-island risks (connector stats are diagnostic, not a quota) before merging."
---
# Section Logic Polisher (thesis + argument bridges)
## Triggers & routing
- **Trigger**: logic polisher, section logic, thesis statement, connectors, 段落逻辑, 连接词, 论证主线, 润色逻辑.
- **Use when**: `sections/S*.md` exist but read like paragraph islands; you want a targeted, debuggable self-loop before `section-merger`.
Purpose: close the main “paper feel” gap that remains even when a subsection is long and citation-dense:
- missing/weak **thesis** (paragraph 1 never commits to a claim)
- weak **inter-paragraph flow** (paragraph islands; no content-bearing bridges)
This is a **local, per-H3** polish step that happens after drafting and before merging.
Note: if the main problem is paragraph-count overgrowth, run
`paragraph-curator` after this check. It only merges adjacent paragraph
boundaries and preserves all prose; semantic redundancy still belongs to the
owning writer.
## What this skill blocks on (and what it does not)
Blocking (must fix):
- paragraph 1 lacks an explicit thesis / takeaway (a content claim)
Non-blocking (diagnostic only):
- connector word counts (e.g., “moreover/however/therefore”). Counts are a proxy for paragraph islands, but forcing them as a quota often creates “generator cadence” (paragraph-initial adverbs). Treat these stats as *signals*, not goals.
## Role prompt: Logic Editor (argument flow)
```text
You are the logic editor for one survey subsection.
Your job is to make the subsection read like a single argument:
- paragraph 1 commits to a clear thesis (content claim)
- each paragraph has an explicit logical relation to the previous one
- bridges are content-bearing (contrast/causal/implication), not slide narration
Constraints:
- do not add new citations
- do not change citation keys
- do not invent facts
Editing lens:
- if a paragraph does not advance the argument (claim/contrast/eval/limitation), compress or delete it
- if a transition is empty, rewrite it as a content-bearing bridge
```
## Inputs
- `sections/` (expects H3 body files like `S<sec>_<sub>.md`)
- `outline/subsection_briefs.jsonl` (use `thesis` + `paragraph_plan[].connector_phrase` as intent)
- Optional: `outline/writer_context_packs.jsonl` (preferred; has trimmed anchors/comparisons + `must_use`)
## Outputs
- `output/SECTION_LOGIC_REPORT.md` (PASS/FAIL for thesis; connector stats shown for diagnosis)
Manual / LLM-first (in place):
- Update the H3 body files under `sections/` (e.g., `sections/S<sec>_<sub>.md`) to fix thesis/bridges (no new citations; keep keys stable)
## Workflow (self-loop)
1) Run the checker script to surface the exact failing files.
2) For each failing H3 file:
- Work on the concrete H3 body file (pattern): `sections/S<sec>_<sub>.md`
- Use `outline/subsection_briefs.jsonl` as the source of truth for the subsection thesis and paragraph-plan intent.
- If available, prefer `outline/writer_context_packs.jsonl` to stay aligned with `must_use` anchors/constraints (no new cites).
- Thesis (blocking)
- Make paragraph 1 end with a conclusion-first thesis sentence.
- Prefer a content claim, not meta narration. Avoid repetitive openers like `This subsection argues/surveys ...`.
- Minimal shape (3 sentences; paraphrase, don’t copy):
1) claim / tension
2) why it matters (protocol/evaluation relevance)
3) how the subsection will resolve it (what contrasts/anchors it will use)
- Flow (fix only when needed)
- Add 1–2 short bridges where paragraphs feel disconnected.
- Prefer subject-first sentences and mid-sentence glue (because/while/which) over paragraph-start adverbs.
- Avoid PPT navigation (`Next, we ...`, `We now turn to ...`).
3) Rerun the checker until `output/SECTION_LOGIC_REPORT.md` is PASS, then
proceed to `paragraph-curator`, `evaluation-anchor-checker`, the final
`argument-selfloop` snapshot, and merge.
## Examples
### Thesis signal (paragraph 1)
Bad (topic setup only):
- `Tool interfaces vary across agent systems, and many recent works explore different designs.`
Better (conclusion-first claim):
- `A central tension in tool interfaces is balancing expressivity with verifiability; as a result, interface contracts often determine which evaluation claims transfer across environments.`
Bad (meta narration):
- `This subsection argues that memory is important for agents.`
Better (content claim):
- `Memory designs trade off retrieval reliability against write-time contamination, and this trade-off shows up as distinct failure modes under fixed evaluation protocols.`
### Bridges (avoid paragraph islands)
Bad (no relation):
- `X does ...` (para 2)
- `Y does ...` (para 3)
Better (explicit tie):
- `Whereas X optimizes for <axis>, Y shifts the bottleneck to <axis>; under fixed budgets, this changes whether the reported gains reflect better planning or simply more expensive search.`
## Done criteria
- `output/SECTION_LOGIC_REPORT.md` shows `- Status: PASS`
- No section file contains placeholders (`TODO`/`...`/`...`) or outline meta markers (`Intent:`/`RQ:`/`Evidence needs:`)
- Every H3 has a clear paragraph-1 thesis; bridges are added only where flow is actually broken
## Script
### Quick Start
- `uv run python .codex/skills/section-logic-polisher/scripts/run.py --workspace <workspace>`
Notes:
- The script is a checker; it does not rewrite prose.
- Connector stats are printed for diagnosis. Do not “write to the counter”; write to the argument.
### All Options
- `--workspace <dir>`
- `--unit-id <U###>`
- `--inputs <semicolon-separated>`
- `--outputs <semicolon-separated>`
- `--checkpoint <C#>`
### Examples
- Default run:
`uv run python .codex/skills/section-logic-polisher/scripts/run.py --workspace <workspace>`
- Explicit output path (rare override; prefer defaults):
`uv run python .codex/skills/sExcerpt, first 6,000 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
uv run python .codex/skills/section-logic-polisher/scripts/run.py --workspace <workspace> uv run python .codex/skills/section-logic-polisher/scripts/run.py --workspace <workspace> --outputs output/SECTION_LOGIC_RE
git clone https://github.com/WILLOSCAR/research-units-pipeline-skills git -C research-units-pipeline-skills checkout 81994516a430
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
| Agent | Status | More |
|---|---|---|
| Codex | Mentioned in its text, not tested | Skills for Codex · About Codex |
Audit history
Every audit, every source change
- ✓SAFE B 89 / 100
first audit · source
81994516a430
README badge
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Sources
- github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.c — the audited source at commit 81994516a430 and every finding aboveObserved · 19 Oct 2026
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- What does the Section Logic Polisher skill do?
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