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 trapstreet/trapstreet-skills --skill trapstreet-solution-scaffoldgit clone --depth 1 https://github.com/trapstreet/trapstreet-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/trapstreet/trapstreet-skills/trapstreet-solution-scaffold)<a href="https://agentmods.dev/skills/trapstreet/trapstreet-skills/trapstreet-solution-scaffold"><img src="https://agentmods.dev/badge/skills/trapstreet/trapstreet-skills/trapstreet-solution-scaffold/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/trapstreet/trapstreet-skills/trapstreet-solution-scaffold"><img src="https://agentmods.dev/badge/skills/trapstreet/trapstreet-skills/trapstreet-solution-scaffold.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 | $0.00211 | $0.04334 |
| Opus 5 | $0.00105 | $0.02167 |
| Sonnet 5 | $0.00042 | $0.00867 |
| Haiku 4.5 | $0.00021 | $0.00433 |
Grade C, and why
trapstreet-solution-scaffold scanned grade C with 2 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -s https://trapstreet.run/api/tasks/<slug> | python3 -m json.tool Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s https://trapstreet.run/api/tasks/<slug> | python3 -m json.tool How it starts
The opening of the file, as written. The whole thing — 302 lines — stays where its author put it; the contents beside it link to each section on GitHub.
trapstreet-solution-scaffold
Scaffolds a trap-cli solution directory for a task on trapstreet.run, and
helps diagnose the real submission failures this ecosystem produces. Built
from repeated real incidents, not theory -- every gotcha below actually
happened.
tp missing, or tp auth status shows no valid pairing? Hand off to trapstreet-setup first --
everything below assumes tp already runs.
Ground rules
- Never read the task's
expected/,judge.py, orgrader.pyto construct or embellish an answer -- only the IO-contract part oftraptask.yaml(inputs/outputs shape) is fair game, and only as much of it as writing the adapter/solution.py actually requires. tp run/tp submitpause on two confirmation gates -- remote-source (about to execute code pulled from a repo) and unanchored (no git provenance, won't rank). Both are the user's call, never yours: explain the consequence in plain words, recommend an answer, let them decide (see "Gates and consent" below). Never pass--trust-remote/--allow-unanchoredon your own initiative.- Never submit to the public leaderboard without the user's explicit go-ahead on that specific submission -- a prior yes does not carry forward to the next run.
Before writing anything: interview
- Which task, and where does it live? A local path (most common when
the task repo is checked out nearby), a
git+URL, or a trapstreet.run task page (https://trapstreet.run/tasks/<slug>). For the trapstreet.run case, resolve it via the public API rather than fetching the page itself -- faster, more reliable, and doesn't depend on page layout or content-blob parsing:
Assemblecurl -s https://trapstreet.run/api/tasks/<slug> | python3 -m json.tool # -> task.latest.{repo_url, commit_sha, repo_path}git+<repo_url>@<commit_sha>#subdirectory=<repo_path>yourself from those three fields -- don't scrape the task's web page for this, and don't ask the user to copy a git URL off it by hand. If local, you'll need the exact relative path from wherever eachtrap.yamlends up -- get this right per-file (see Layout below), since a wrong relative depth is a common mistake. - Which of the three starting points is this? (see below) -- from
scratch, wrapping an existing
solution.py, or adapting an existing external project. This determines whether the scaffold script writes a templatesolution.pyfor you or leaves that part to you. - One model, or several to compare? This determines the layout (see below). If several: which providers/models exactly?
- API keys, then model IDs. Before verifying anything, confirm the user actually has an API
key for each provider in play -- ask directly if unsure; don't assume
.envhas real values just because.env.exampleexists. A missing key isn't obvious untilsolution.pycrashes on a bareKeyErrorat runtime, so catch it here instead of there. If it's missing, point to where to get one and pause until the user has it:- Anthropic: https://console.anthropic.com/settings/keys
- OpenRouter: https://openrouter.ai/keys
- Any other provider: its own dashboard/account settings page
What ships with it
4 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.
- 11d ago First seen · 302 lines · 211 tokens per session scan C 3b170e17c996
trapstreet-solution-scaffold is a skill published in the GitHub repository trapstreet/trapstreet-skills (5 stars, last pushed 16d ago), licensed MIT. It adds 211 tokens to every session and 4,334 once invoked, about $0.0011 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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