Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add austin-starks/Public-Portfolio-Challenge --skill alt-data-indicatorsgit clone --depth 1 https://github.com/austin-starks/Public-Portfolio-ChallengeWrote 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/austin-starks/public-portfolio-challenge/alt-data-indicators)<a href="https://agentmods.dev/skills/austin-starks/public-portfolio-challenge/alt-data-indicators"><img src="https://agentmods.dev/badge/skills/austin-starks/public-portfolio-challenge/alt-data-indicators/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/austin-starks/public-portfolio-challenge/alt-data-indicators"><img src="https://agentmods.dev/badge/skills/austin-starks/public-portfolio-challenge/alt-data-indicators.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00114 | $0.01419 |
| Opus 5 | $0.00057 | $0.00709 |
| Sonnet 5 | $0.00023 | $0.00284 |
| Haiku 4.5 | $0.00011 | $0.00142 |
Grade A, and why
alt-data-indicators 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 12d 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 — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Alt-Data Custom Indicators
Alt-data is a SIGNAL experiment, not a structure experiment — it may touch the rank / weighting / filtering signal only, never the options structure (see options-structure-rules). The incumbent is the bar: alt-data must EARN its way in by beating (or materially de-risking) the certified book held to the same OOS gates. "The indicator is cool" is not a result.
Build with steerable compute sessions (preferred)
Prefer compute_session_start / compute_session_exec → compute_session_promote_indicator /
compute_session_end for any multi-step data build: /work persists, you observe every step, and the
whole history lands in ONE promoted indicator. List and end stale sessions first
(compute_session_list); send periodic execs while long work runs. Oneshot run_compute is for small,
single-query jobs only. Other stack tools: dataset_to_indicator, build_signal_indicator,
create_indicator, list_custom_indicators, collect_web_data, discover_sources, enrich_source,
ingest_content, probe_url, sec_edgar, get_compute_status, cancel_compute_job.
Every source gets: build → point-count + coverage check → lookahead audit → value spot-check vs the primary source → log. Platform failures get the bug-protocol; after two distinct failures on a source, park it and move on — don't let one broken pipeline stall the campaign.
Never wire an unverified indicator (lessons #10/#11)
Before referencing any CustomIndicator in a strategy, confirm all four with
list_custom_indicators + a source spot-check:
- Point count — cull 0-point corpses.
- Per-ticker coverage of the whole universe (all 21 names, not a sample).
- Freshness — the max date; a signal whose data has gone stale must NOT drive a live book.
- Lookahead safety — see below.
The sparse-series rule
A rank/weight expression only works with a series that is DENSE across the whole universe. A sparse / partial-coverage series (e.g. one politician's buys covering ~1 of 21 names) can only be a tilt or overlay, never a rank input — and a rank built on it will trade ZERO (degenerate wiring). Say so and deprioritize; don't force it.
What ships with it
6 files 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.
- 12d ago First seen · 96 lines · 114 tokens per session scan A 8bffbfcbd607
alt-data-indicators is a skill published in the GitHub repository austin-starks/Public-Portfolio-Challenge (44 stars, last pushed 4d ago), licensed MIT. It adds 114 tokens to every session and 1,419 once invoked, about $0.0006 per session on Opus 5. 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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