Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add dynos-fit/dynos-work/plugin install dynos-workWrote 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/dynos-fit/dynos-work/dry-run)<a href="https://agentmods.dev/skills/dynos-fit/dynos-work/dry-run"><img src="https://agentmods.dev/badge/skills/dynos-fit/dynos-work/dry-run/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/dynos-fit/dynos-work/dry-run"><img src="https://agentmods.dev/badge/skills/dynos-fit/dynos-work/dry-run.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 | $0.00059 | $0.01694 |
| Opus 5 | $0.00030 | $0.00847 |
| Sonnet 5 | $0.00012 | $0.00339 |
| Haiku 4.5 | $0.00006 | $0.00169 |
Grade A, and why
dry-run 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 8d 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 — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
dynos-work: Dry Run
Validate that the contract.json files across all skills form a valid pipeline chain. This skill reads every skills/*/contract.json, determines the pipeline order, and verifies that each stage's outputs satisfy the next stage's required inputs.
Ruthlessness Standard
- Treat missing or incompatible contract fields as real pipeline breakage, not paperwork.
- Do not infer compatibility from naming similarity alone.
- If a downstream stage depends on behavior the upstream contract does not guarantee, call it broken.
What you do
Step 1 -- Discover contracts
- Scan all directories under
skills/in the project root. - For each directory, check if a
contract.jsonfile exists. - If any skill directory lacks a
contract.json, emit a warning that names every specific directory:WARNING: Missing contract.json in: skills/foo/, skills/bar/ - Parse each discovered
contract.jsonfile. If any file contains invalid JSON, report it as an error and skip that contract.
Step 2 -- Determine pipeline order
The linear pipeline chain is fixed:
start -> plan -> execute -> audit -> learn
Skills that are NOT part of the linear pipeline (utility skills) are:
- status
- investigate
- resume
- repair
- execution
- dashboard
- dry-run
Utility skills have contracts but do not participate in linear chain validation. They should still be loaded and listed in the report.
Step 3 -- Validate chain links
For each consecutive pair in the pipeline (stage N -> stage N+1):
- Read the
output_schemaof stage N. - Read the
input_schemaof stage N+1. - For every field in stage N+1's
input_schemawhererequiredistrue:- Check if a field with a matching key exists in stage N's
output_schema. - If the field exists, check that the
typevalues are compatible (exact match or both resolve to the same base type). - If the field is missing from stage N's
output_schema, record a FAIL with details. - If the field exists but the type does not match, record a FAIL with details.
- Check if a field with a matching key exists in stage N's
- For optional fields (where
requiredisfalse), check availability but only emit an INFO-level note if missing, not a FAIL.
What ships with it
1 file 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.
- 8d ago First seen · 178 lines · 59 tokens per session scan A 3af50f1ce9b3
dry-run is a skill published in the GitHub repository dynos-fit/dynos-work (2 stars, last pushed 2d ago), licensed MIT. It adds 59 tokens to every session and 1,694 once invoked, about $0.0003 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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