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.
git clone --depth 1 https://github.com/moshcoder/moshcodeWrote 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/commands/moshcoder/moshcode/signals)<a href="https://agentmods.dev/commands/moshcoder/moshcode/signals"><img src="https://agentmods.dev/badge/commands/moshcoder/moshcode/signals/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/commands/moshcoder/moshcode/signals"><img src="https://agentmods.dev/badge/commands/moshcoder/moshcode/signals.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 | $0.00015 | $0.00267 |
| Opus 5.5 | $0.00006 | $0.00107 |
| Sonnet 5.5 | $0.00003 | $0.00053 |
| Haiku 4.5 | $0.00002 | $0.00027 |
Grade A, and why
signals scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
allowed-tools: Bash(moshcode stocks:*), Bash(curl -sS https://advis0r.com/api/:*) What it actually says
Task
List the extracted signals for $ARGUMENTS.
moshcode stocks signals $ARGUMENTS --json
Fallback: curl -sS "https://advis0r.com/api/signals?ticker=$ARGUMENTS"
Reading the response
Each signal carries signal_type, direction (positive/negative/neutral),
strength, specificity, quote, event_date, speaker, speaker_title,
source_url, and source_tier.
Rules
- Group by direction and lead with the most recent. Note the positive/negative split.
- Every claim keeps its
source_url. These are extracted quotes from transcripts and articles — a signal repeated without its source is a rumor. strengthandspecificityare the extractor's confidence, not the market's. A strong signal from a lowsource_tieris still a low-tier source; say so.- End with the response's own
disclaimer.
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 · 31 lines · 15 tokens per session scan A 791c9056633f
signals is a command published in the GitHub repository moshcoder/moshcode (3 stars, last pushed 4d ago), licensed MIT. It adds 15 tokens to every session and 267 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other commands, from other repositories
valuation-methods
Valuation methods analysis — multiples, DCF inputs, PEG integration, valuation assumption extraction.
merit-reconcile
Preview or check the status of Stripe → Merit payout reconciliation (read-only).
cost-per-task
Compute cost-per-successful-task unit economics from usage and cost data, including retries, failures, and quality thresholds.
audit-checklist
Perform an internal audit, review controls, or prepare for an external financial audit.
scan
Scan AWS account for cost optimization.
audit
Scan for non-kernel money math. Rebuild critical flows as JournalEntrys. Replay and prove. Complements /ledger-verify.