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 synaptiai/prompt-decorators/plugin install prompt-decoratorsWrote 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/synaptiai/prompt-decorators/decorate)<a href="https://agentmods.dev/commands/synaptiai/prompt-decorators/decorate"><img src="https://agentmods.dev/badge/commands/synaptiai/prompt-decorators/decorate.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 5.1 | $0.00025 | $0.00852 |
| Opus 5 | $0.00013 | $0.00426 |
| Sonnet 5 | $0.00005 | $0.00170 |
| Haiku 4.5 | $0.00003 | $0.00085 |
Grade A, and why
decorate 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/decorate
Manage the prompt-decorators catalogue, always-on list, and auto-decorate mode. The actual work happens in a Python dispatcher; this command is a thin shell around it.
The user invoked: /decorate $ARGUMENTS
Contract
GOAL: Show the user the exact, unmodified output of the dispatcher so
they can act on it (e.g., see the decorator list, copy a sigil, confirm an
auto mode change). Testable: the output in the fenced block matches what
scripts/dispatch.py prints verbatim.
CONSTRAINTS:
- Command is read-mostly. The only writes are to
~/.config/prompt-decorators/config.jsonviaenable/disable/always/autosubcommands - never to project files. $ARGUMENTSmust reach the dispatcher as tokenised argv, NOT as a shell command string. The heredoc below uses a quoted delimiter ('PD_ARGS_EOF') so user-supplied metacharacters cannot escape; the dispatcher then usesshlex.splitinside Python for safe tokenisation.- Do not interpret or summarise the output unless the user explicitly asks. Relay verbatim.
FORMAT: A fenced code block containing the dispatcher's stdout. If the dispatcher exits non-zero, include the exit code and any stderr.
FAILURE CONDITIONS:
- Output is paraphrased rather than verbatim.
$ARGUMENTSis interpolated into a shell command string (reintroduces the injection vector).- The user's
config.jsonis written outside the subcommand's intent (e.g., runninglistleaves the config modified).
Process
-
Invoke the dispatcher via a quoted heredoc so shell metacharacters in the user's input can't be executed:
python3 "${CLAUDE_PLUGIN_ROOT}/scripts/dispatch.py" --args-from-stdin <<'PD_ARGS_EOF' $ARGUMENTS PD_ARGS_EOF -
Wrap the output in a fenced code block and return it to the user without edits.
-
If the user's query is "what decorator should I use for X?" rather than a subcommand, invoke the
prompt-decorators-usageskill instead of running this dispatcher - it's better suited to that kind of judgement call.
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 · 93 lines · 25 tokens per session scan A 81a147caab94
decorate is a command published in the GitHub repository synaptiai/prompt-decorators (43 stars, last pushed yesterday), licensed Apache-2.0. It adds 25 tokens to every session and 852 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 2026-08-30.
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