public-equity-research: Skill for Claude Code

.claude/skills/data-manager/SKILL.md

data-manager is a skill for Claude Code from lowtidebuild/public-equity-research. It costs 0 tokens per session (2,347 once invoked), scanned A, original, Apache-2.0.

A workflow component for saving financial analysis results and managing portfolios, watchlists, and upcoming-event calendars.

In plain words
What is it for?
Save analysis artifacts, update watchlists and portfolios, and maintain a calendar of company events and catalysts.
Why use it?
It preserves analysis snapshots and keeps tracked investments and monitoring lists in structured files for later use.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: reads .claude/ paths; mentions CLAUDE.md.

This is lowtidebuild/public-equity-research's own configuration. It tells Claude Code how to work on public-equity-research itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything public-equity-research configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python .claude/skills/data-validator/scripts/validate-artifacts.py --artifact-type analysis-result --input output/runs/{run_id}/{ticker}/analysis-result.json.

Reuse

Borrowing it

Nothing to install: this file belongs to lowtidebuild/public-equity-research. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/lowtidebuild/public-equity-research/main/.claude/skills/data-manager/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/lowtidebuild/public-equity-research

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for data-manager

README.md
[![agentmods](https://agentmods.dev/badge/skills/lowtidebuild/public-equity-research/data-manager/github.svg)](https://agentmods.dev/skills/lowtidebuild/public-equity-research/data-manager)
Your own site
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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for data-manager

Your own site · 80×15
<a href="https://agentmods.dev/skills/lowtidebuild/public-equity-research/data-manager"><img src="https://agentmods.dev/badge/skills/lowtidebuild/public-equity-research/data-manager.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,347 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.02347
Opus 5 $0.00000 $0.01174
Sonnet 5 $0.00000 $0.00469
Haiku 4.5 $0.00000 $0.00235

Measured 9d ago against content hash d3b9f5aeb925, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

data-manager scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

The scan reads SKILL.md. This mod also ships 5 executable files (scripts/artifact-manager.py, scripts/catalyst-aggregator.py, scripts/delta-comparator.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/data-manager/SKILL.md · 214 lines

How it starts

The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Data Manager — SKILL.md

Role: Step 10 (post-analysis persistence) + Workflow 3 (portfolio & watchlist management) Triggered by: CLAUDE.md after Step 9 (quality check) for persistence; directly for Workflow 3 commands Reads: run-local analysis-result.json, optional run-local evidence-pack.json, optional run-local context-budget.json, output/watchlist.json, output/portfolio.json Writes: Snapshot files, output/watchlist.json, output/portfolio.json, output/catalyst-calendar.json References: references/snapshot-schema.md, references/watchlist-schema.md, references/portfolio-schema.md, references/catalyst-schema.md


Part A — Step 10: Post-Analysis Persistence

Run after Step 9 (quality check passes or flags applied).

Step 10.1 — Save Snapshot

python .claude/skills/data-manager/scripts/snapshot-manager.py save \
  --ticker {ticker} \
  --data-file output/runs/{run_id}/{ticker}/analysis-result.json

Expected output: confirms output/data/{ticker}/snapshots/{snapshot_id}/analysis-result.json created, sibling artifacts such as validated-data.json, evidence-pack.json, context-budget.json, and raw artifacts promoted when present, and output/data/{ticker}/latest.json updated as a pointer.

Snapshots persist thesis_pillars[] when present in analysis-result.json. Legacy or analyst-missing pillars default to an empty list, but Mode A/C/D analyses should emit 3-5 falsifiable pillars.

If script fails because the input is not schema-compliant, run:

python .claude/skills/data-validator/scripts/validate-artifacts.py --artifact-type analysis-result --input output/runs/{run_id}/{ticker}/analysis-result.json

If legacy artifacts must be persisted temporarily, use --skip-validation explicitly and treat the snapshot as a compatibility fallback.

Step 10.2 — Update Watchlist Entry (if ticker in watchlist)

Check if ticker exists in output/watchlist.json. If yes:

python .claude/skills/data-manager/scripts/watchlist-manager.py update-snapshot \
  --ticker {ticker} \
  --snapshot-path output/data/{ticker}/snapshots/{snapshot_id}/analysis-result.json

Read the full file on GitHub · 214 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 214 lines · 0 tokens per session scan A d3b9f5aeb925

Subscribe to this mod's changes

data-manager is a skill published in the GitHub repository lowtidebuild/public-equity-research (46 stars, last pushed 1mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 2,347 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.