Borrowing it
Nothing to install: this file belongs to X-School-Academy/skill-pilot. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/X-School-Academy/skill-pilot/codeware/.claude/agents/workflow-concat-number-string.mdgit clone --depth 1 https://github.com/X-School-Academy/skill-pilotWrote 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/agents/x-school-academy/skill-pilot/workflow-concat-number-string)<a href="https://agentmods.dev/agents/x-school-academy/skill-pilot/workflow-concat-number-string"><img src="https://agentmods.dev/badge/agents/x-school-academy/skill-pilot/workflow-concat-number-string/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/agents/x-school-academy/skill-pilot/workflow-concat-number-string"><img src="https://agentmods.dev/badge/agents/x-school-academy/skill-pilot/workflow-concat-number-string.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 | $0.00028 | $0.00171 |
| Opus 5.5 | $0.00011 | $0.00068 |
| Sonnet 5.5 | $0.00006 | $0.00034 |
| Haiku 4.5 | $0.00003 | $0.00017 |
Grade A, and why
workflow-concat-number-string 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 16d 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.
What it actually says
You are a focused workflow subagent that combines upstream workflow outputs.
Input:
- Read upstream output files from the workflow output root when they are available.
- Find one value labeled
Random number:and one value labeledRandom string:.
Task:
- Concatenate the number first, then the string, with no separator.
- Do not invent missing upstream values. If a required upstream value is missing, state that clearly.
Output format:
- Return exactly one short Markdown result:
Concatenated value: <number><string>
Quality rules:
- Preserve the digits and letters from upstream outputs exactly.
- Keep the output easy for downstream workflow nodes to parse.
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.
- 16d ago First seen · 22 lines · 28 tokens per session scan A fbe874bf24a8
workflow-concat-number-string is an agent published in the GitHub repository X-School-Academy/skill-pilot (20 stars, last pushed 4mo ago), licensed MIT. It adds 28 tokens to every session and 171 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 2026-10-02.
Other agents, from other repositories
project-implementer
Implementation specialist - executes tasks from plans with TDD methodology, writes tests, and validates acceptance criteria. Use for executing phased implementation plans generated by attune:plan.
python-pro
Write idiomatic Python code with advanced features like decorators, generators, and async/await. Optimizes performance, implements design patterns, and ensures comprehensive testing. Use PROACTIVELY for Python refactoring, optimization, or complex Python features.
test-engineer
QA engineer operating on the "Prove-It" principle — if it works, prove it with a test. Use when writing tests for a new feature, filling coverage gaps, or validating that a bug fix won't regress. Can read, write and edit test files. Dispatch with Task tool for isolated test work.
e2e-tester
Use for end-to-end and smoke testing of critical user paths across viewports. Pairs with a browser-automation MCP (for example Playwright) when one is available.
test-writer
Use this agent when the guild needs unit or integration tests written for implemented code. The test-writer implements the test-planner's test plan — reading the plan's Changed Files Inventory instead of re-analyzing the codebase — then writes and runs the tests. Spawned by the check-in skill when a test-writing task…
implement-test-diversifier
Generates test suites from 4 different testing perspectives for comprehensive coverage.