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.
curl -O https://raw.githubusercontent.com/lowtidebuild/public-equity-research/main/.claude/skills/staleness-checker/SKILL.mdgit clone --depth 1 https://github.com/lowtidebuild/public-equity-researchWrote 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.
[](https://agentmods.dev/skills/lowtidebuild/public-equity-research/staleness-checker)<a href="https://agentmods.dev/skills/lowtidebuild/public-equity-research/staleness-checker"><img src="https://agentmods.dev/badge/skills/lowtidebuild/public-equity-research/staleness-checker/github.svg" alt="Measured on agentmods" height="20"></a>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.
<a href="https://agentmods.dev/skills/lowtidebuild/public-equity-research/staleness-checker"><img src="https://agentmods.dev/badge/skills/lowtidebuild/public-equity-research/staleness-checker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.02044 |
| Opus 5 | $0.00000 | $0.01022 |
| Sonnet 5 | $0.00000 | $0.00409 |
| Haiku 4.5 | $0.00000 | $0.00204 |
Grade A, and why
staleness-checker 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 11d ago.
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.
How it starts
The opening of the file, as written. The whole thing — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Staleness Checker — SKILL.md
Role: Step 0 — Evaluate whether existing snapshot data is fresh enough to reuse, or whether new data collection is required.
Triggered by: CLAUDE.md at the start of Workflow 1 (Single Stock Analysis) and Workflow 3 (Watchlist Scan)
Reads: output/data/{ticker}/latest.json, staleness rules from this file
Writes: Nothing (read-only evaluation; result is reported inline to orchestrator)
References: references/staleness-rules.md
Instructions
Step 0.1 — Check for Existing Snapshot
Check if output/data/{ticker}/latest.json exists. New files are pointer-only documents; legacy full-snapshot files may still appear and must remain readable.
IF file does not exist:
→ Routing decision: FRESH_COLLECTION (no cached data)
→ Proceed to Step 1 (query-interpreter)
If file exists, read it and extract:
analysis_date(YYYY-MM-DD)expires_atandrefs.analysis_resultwhenkindisstock-analysis.latest-snapshot-pointerdata_mode(enhanced / standard)output_mode(A / B / C / D)rr_scoreverdict
If latest.json is a pointer, verify that refs.analysis_result exists before routing to REUSE or DELTA_FAST. If the pointer is missing, expired, or points to a missing file, route to FRESH_COLLECTION.
Step 0.2 — Calculate Staleness
Calculate days_since_analysis = today - analysis_date. For pointer files, treat expires_at as the primary 24-hour reuse boundary; analysis_date remains the coarser fallback for older files and user-facing explanations.
Mode E hard override (OD-F1): When the orchestrator has set
pipeline_state.mode_override == "E" (because earnings-window-detector
returned window in {preview, review} at CLAUDE.md Step 0.5, or the
user passed --mode E / --earnings-mode preview|review), skip the
staleness table entirely and route to FRESH_COLLECTION. Mode E should
never reuse a stale snapshot — implied moves, options chains, and
consensus EPS shift fast in the D-7~D+3 window.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 180 lines · 0 tokens per session scan A 0a757ff05bb1
staleness-checker is a skill published in the GitHub repository lowtidebuild/public-equity-research (46 stars, last pushed 2mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 2,044 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.
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