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/justhamade/triadjsWrote 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/justhamade/triadjs/scenario)<a href="https://agentmods.dev/commands/justhamade/triadjs/scenario"><img src="https://agentmods.dev/badge/commands/justhamade/triadjs/scenario/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/justhamade/triadjs/scenario"><img src="https://agentmods.dev/badge/commands/justhamade/triadjs/scenario.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 | $0.00034 | $0.00866 |
| Opus 5.5 | $0.00014 | $0.00346 |
| Sonnet 5.5 | $0.00007 | $0.00173 |
| Haiku 4.5 | $0.00003 | $0.00087 |
Grade A, and why
scenario scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Load the triad-behaviors skill — it carries the authoritative assertion phrase table, fixture syntax, and scenario.auto() reference. Do NOT invent phrases — unrecognized strings fail as "Unrecognized assertion".
Add behavior scenarios to an existing endpoint or channel based on the user's description ($ARGUMENTS).
Steps
-
Locate the target endpoint or channel. If the user gives a name, grep for
name: 'thatName'. If they describe the resource, find the matching file insrc/endpoints/orsrc/channels/. -
Understand the business intent first. A scenario name should describe business intent, not mechanics:
- Good:
"Duplicate pet names are rejected within the same species" - Bad:
"POST /pets returns 409 when name is taken"
- Good:
-
Write the
.given()stage — seed fixtures via.setup(async services => { return { foo: ... } })if the scenario depends on existing state, or use.fixtures({...})for static values. -
Set the request —
.body(...),.params(...),.query(...),.headers(...). Use{placeholder}tokens to interpolate fixtures (e.g..params({ id: '{petId}' })). -
Write the
.when()narrative — a short string describing the action. This flows to Gherkin but doesn't affect test execution. -
Write the
.then()and.and()assertions — every phrase must match a row in the phrase table (seetriad-behaviorsskill):response status is <N>response body matches <ModelName>response body has <path> "<string>"— double quotes, never singleresponse body has <path> <number>response body has <path> true/falseresponse body has length <N>response body is an arrayresponse body is empty(for 204/t.empty()responses)response body has code "<CODE>"
-
For channels, use channel phrases instead:
<client> receives a <messageType> eventall clients receive a <messageType> event<client> does not receive a <messageType> event<client> receives a <messageType> with <field> "<value>"connection is rejected with code <N>
-
Consider adding
...scenario.auto()at the end of the behaviors array if it's not already there — it generates missing-field/boundary/enum/type scenarios from the schema constraints for free. -
Run
triad test --filter <name>to verify every new scenario parses, seeds correctly, and passes.
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.
- 2mo ago First seen · 58 lines · 34 tokens per session scan A 2067366ee8bf
scenario is a command published in the GitHub repository justhamade/triadjs (24 stars, last pushed 6mo ago), licensed MIT. It adds 34 tokens to every session and 866 once invoked, about $0.0001 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.
scenario compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| scenariojusthamade/triadjs | Command | 24 | 6mo ago | MIT | A | 34 | Claude Code |
| checklistgithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| clarifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 27 | Claude Code |
| specifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| analyzegithub/spec-kit | Command | 148k | yesterday | MIT | A | 26 | Claude Code |
| convergegithub/spec-kit | Command | 148k | yesterday | MIT | A | 35 | Claude Code |
| implementgithub/spec-kit | Command | 148k | yesterday | MIT | A | 14 | Claude Code |