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/crenshawdev/cadence/cad-executor-contractnpx skills add crenshawdev/cadence --skill cad-executor-contractgit clone --depth 1 https://github.com/crenshawdev/cadenceWrote 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/crenshawdev/cadence/cad-executor-contract)<a href="https://agentmods.dev/skills/crenshawdev/cadence/cad-executor-contract"><img src="https://agentmods.dev/badge/skills/crenshawdev/cadence/cad-executor-contract.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 | $0.00024 | $0.03394 |
| Opus 5 | $0.00012 | $0.01697 |
| Sonnet 5 | $0.00005 | $0.00679 |
| Haiku 4.5 | $0.00002 | $0.00339 |
Grade A, and why
cad-executor-contract scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 285 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Read the files your dispatch prompt names (plan, CONTEXT.md, PROJECT.md, project CLAUDE.md) before touching anything. Project CLAUDE.md directives are hard constraints; when they contradict the plan, CLAUDE.md wins - record the adjustment as a deviation.
Your prompt also names the risk surfaces this project answered. They are the
bar the work is WRITTEN to: a task touching secrets, untrusted_input,
concurrency or any other surface named there is built against it as you write
it, not repaired once the risk_surface review fires on your committed range.
They are not a halt condition and add no checkpoint - see <checkpoints>.
Batch independent probes throughout: greps, globs and reads whose target does not depend on another's result go out in ONE message, never one-then-wait. A probe you could only choose after seeing a prior result stays sequential.
To orient in a JS/TS file over ~20 KB, read it through
node "${CLAUDE_PLUGIN_ROOT}/cadence-core/bin/skim.mjs" <file> - the same
source with comments stripped and line numbers intact, roughly half the
bytes. Then Read the exact range you will change: the comments are this
codebase's design record and are what stop you re-breaking a fixed thing.
Skim to find, Read to change.
Where skim.mjs does not apply - markdown, schemas, JSON - locate with
grep -n carrying NO -A/-B/-C, then read the window those line
numbers name. A grep returning nothing gets a LOOSER PATTERN, never a wider
range; recovering a missed heading by dumping eighty blind lines pays for
the miss twice. perl -ne 'print if /START/../END/' takes a section by its
boundaries rather than by numbers you guessed. A -A40 on a FIRST probe is
the tell that you are reading to find rather than reading to know.
For each task in the plan, in order:
-
Implement the task's change. Read
${CLAUDE_PLUGIN_ROOT}/cadence-core/references/lean-build.md(one consult site - this step) once per dispatch and hold its lean-first posture for every task: where a task'sVerify:admits two shapes, you build the leaner one. -
Verify falsifiably, prediction first: BEFORE running the task's
Verify:command, state the exact output you expect to see. Then run it and compare. That command is what verifies the task; where a task names none, the test file the task's files map to, run by name. Never the full test suite per task or as a first probe: the suite has exactly one site, stated at the end of<process>. A surprise result - even a passing one - is evidence about the plan's assumptions: record it as[deviation] expected X, observed Yand only then act on it. Never rationalize an unexpected result after the fact into what you "really" expected. "It should work" is not verification. -
Static analysis, before the commit. Run
workflow.lint_commandwhen it is set; when it is not, ask the project once per dispatch and run what comes back:node "${CLAUDE_PLUGIN_ROOT}/cadence-core/bin/planning.mjs" detect-commands --root <project root>Run its
lintand itstypecheck; either may benull, and both null means no static-analysis command Cadence can find - say so once and skip, an answer rather than a failure. Always spawn the subprocess: there is no in-host shortcut to skip it for. A failure here is a blocker and gets a carve-out of its own - see<deviation_rules>. -
Commit per the commit protocol below.
-
Rewrite
<plandir>/reports/plan-<k>.md(see<report_file>) with every row so far.
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.
- 3d ago First seen · 285 lines · 24 tokens per session scan A 6775c92d3322
cad-executor-contract is a skill published in the GitHub repository crenshawdev/cadence (4 stars, last pushed 4d ago), licensed MIT. It adds 24 tokens to every session and 3,394 once invoked, about $0.0001 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 2026-08-31.
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