Fact Refresh — Security skill for Claude Code
Claude Code skill: audit course materials (Beamer decks, lecture notes, syllabi) for outdated facts, statistics, dates, rankings, and regulations; research current values from primary sources; apply s.
How to install Fact Refresh
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open franklee16/fact-refresh and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Fact Refresh does
Claude Code skill: audit course materials (Beamer decks, lecture notes, syllabi) for outdated facts, statistics, dates, rankings, and regulations; research current values from primary sources; apply surgical updates with compile verification
Alternatives in Security
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- Beamer Skill — A Claude Code skill for creating, compiling, reviewing, and polishing academic Beamer LaTeX presentations 163 ★
README
fact-refresh
Audit a folder of course materials (Beamer decks, lecture notes, syllabi, handouts) for outdated facts, statistics, dates, rankings, and regulations — then research current values from primary sources and apply the updates with compile verification.
A two-stage workflow: **audit first, change nothing** → user reviews the punch list → **research and apply**, with surgical edits and source arbitration. Designed for term-prep runs 1–3 months before a new offering.
What it does
The skill runs in two clearly separated stages with a mandatory approval gate between them:
**Stage 1 — Audit (read-only)**
- Dispatch one scan agent per unit (week / chapter / lecture), in parallel.
- Each agent reads its unit and emits findings across a fixed 12-category taxonomy with MUST / SHOULD / NICE severity.
- A consolidation agent produces a master punch list (
final_update_list.md) with universal fixes first, then per-unit items, with effort estimates. - Stops. Presents the punch list. Waits for explicit user approval before editing anything.
**Stage 2 — Research + Apply (after approval)**
- Phase A — Research. Dispatch domain-clustered research agents (e.g., rates/bonds; equities/funds; FX; derivatives; regulation) that pull current values from primary sources. Each writes its own data file.
- Phase B — Apply. Dispatch per-unit edit agents that read their findings + the relevant research file and edit source files surgically, with coordinated recompute of chained worked examples and compile verification.
- Phase C — Verify. Confirm fresh PDFs, write a
fix_summary.mdwith universal fixes, wrong-direction corrections (wrong, not just stale), deferred items, and a professor-arbitration list for source conflicts.
When to trigger
Use any of:
- Natural language: "check my slides for outdated info", "refresh the data in my course materials", "update the facts in my decks before the term", *"what needs updating in my
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