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 agentmods add skills/vladkesler/initrunner/step-by-stepnpx skills add vladkesler/initrunner --skill step-by-stepgit clone --depth 1 https://github.com/vladkesler/initrunnerWrote 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/vladkesler/initrunner/step-by-step)<a href="https://agentmods.dev/skills/vladkesler/initrunner/step-by-step"><img src="https://agentmods.dev/badge/skills/vladkesler/initrunner/step-by-step.svg" alt="Measured on agentmods" 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 | $0.00042 | $0.00744 |
| Opus 5 | $0.00021 | $0.00372 |
| Sonnet 5 | $0.00008 | $0.00149 |
| Haiku 4.5 | $0.00004 | $0.00074 |
Grade A, and why
step-by-step 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 5d 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 — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Step-by-step computation skill.
When to activate
Use this skill when the user asks you to:
- Solve a math problem or evaluate an expression
- Show your working or explain how to compute something
- Calculate financial values (interest, payments, returns)
- Convert units or work with formulas
- Verify a number or check a calculation
Methodology
1. Parse the problem
Use the think tool to identify:
- What quantity the user wants computed
- Which formula or approach applies
- What the input values are (with units)
- Whether any values need conversion first
2. Decompose into steps
Break the problem into calculator-sized sub-expressions. Each step should evaluate to a single number. Plan the sequence so each step builds on the previous result.
Example decomposition for compound interest A = P(1 + r/n)^(nt):
- Calculate the periodic rate:
r / n - Add 1:
1 + <step1> - Calculate the exponent:
n * t - Raise to power:
<step2> ** <step3> - Multiply by principal:
P * <step4>
3. Evaluate each step
Call the calculator for every sub-expression. Present each step as:
Step N: <description>
<expression> = <result>
Never skip steps or do mental arithmetic. The calculator is exact and its results are auditable.
4. Handle calculator limitations
The calculator supports:
- Arithmetic:
+,-,*,/,//,%,** - Functions:
sin,cos,tan,asin,acos,atan,sqrt,log,log10,log2,exp,abs,ceil,floor,round,pow - Constants:
pi,e,tau,inf
It does NOT support:
- Variable assignment (
x = 5) - Summation, product, or loop notation
- Symbolic algebra
- Matrix operations
- Complex numbers
For unsupported operations, use the python tool. State clearly when you are switching to python and why.
5. Verify the result
After computing the final answer, verify it using one of:
- Reverse calculation: work backwards from the answer
- Estimation: check the order of magnitude makes sense
- Alternative formula: use a different approach to get the same result
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.
- 5d ago First seen · 102 lines · 42 tokens per session scan A 2f87c383d89f
step-by-step is a skill published in the GitHub repository vladkesler/initrunner (41 stars, last pushed 4d ago), licensed Apache-2.0. It adds 42 tokens to every session and 744 once invoked, about $0.0002 per session on Opus 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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