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 mphinance/alpha-skills --skill value-complexgit clone --depth 1 https://github.com/mphinance/alpha-skillsWrote 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/mphinance/alpha-skills/value-complex)<a href="https://agentmods.dev/skills/mphinance/alpha-skills/value-complex"><img src="https://agentmods.dev/badge/skills/mphinance/alpha-skills/value-complex/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/mphinance/alpha-skills/value-complex"><img src="https://agentmods.dev/badge/skills/mphinance/alpha-skills/value-complex.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 | $0.00125 | $0.01224 |
| Opus 5.5 | $0.00050 | $0.00490 |
| Sonnet 5.5 | $0.00025 | $0.00245 |
| Haiku 4.5 | $0.00013 | $0.00122 |
Grade A, and why
value-complex 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 1mo 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Value Complex — Avantis small + large value, by weight
This skill reads Avantis's two flagship value ETFs straight from TickerTrace's
per-fund endpoint (/fund/<TICKER>) and lays out what changed under the hood,
grouped the way the value factor actually moves:
- AVUV — small-cap value ($12.5B, ~794 holdings) — the flagship.
- AVLV — large-cap value ($3.2B, ~272 holdings).
This is the per-fund holdings view that the daily stock-recap skill does not pull. stock-recap only hits TickerTrace's cross-fund aggregates (
/briefing,/institutional,/divergences). This skill is the deep, by-weight, per-fund value read.
What it groups, and why
For each fund (small tier → large tier), three lifecycle buckets:
- 🆕 New / Exited — positions TickerTrace flags
type=NEWorREMOVED. Passive Avantis funds rarely open or close a name day-to-day, so when they do it's meaningful. This is the literal "new adds." - 📈 Conviction tilt — active over/under-weighting, inflow-stripped.
Every name in an inflow day shows a positive
sharesDelta(new money buys the whole book pro-rata), so raw adds are noise. We compute each name's share growthsharesDelta/previousShares, take the fund-wide median as the inflow tide, and rank by the excess over that tide. Positive excess = the fund is genuinely leaning into the name beyond mechanical inflow; negative = leaning out. - 🔥 Up-streaks — names on multi-day winning runs (TickerTrace
streaks). This is the cleanest momentum signal — independent of fund mechanics entirely.
Then the payoff, 🔗 cross-tier synthesis:
- Sector convergence — sectors that are streaking and/or tilting up in both the small and large fund. (Exact-ticker overlap is rare because the funds hold different cap tiers, so convergence is read at the sector/theme level — e.g. "transports leading in both.")
- Flow tell — all-buys with zero trims = inflows into value (creations, risk-on); a genuine mix of adds and trims = active rebalancing.
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.
- 1mo ago First seen · 90 lines · 125 tokens per session scan A 0cda5ed2b3bc
value-complex is a skill published in the GitHub repository mphinance/alpha-skills (28 stars, last pushed 10d ago), licensed MIT. It adds 125 tokens to every session and 1,224 once invoked, about $0.0005 per session on Opus 5.5. 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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