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 skills add WaterplanAI/agentic-config --skill ac-tools-dry-rungit clone --depth 1 https://github.com/WaterplanAI/agentic-configWrote 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/waterplanai/agentic-config/ac-tools-dry-run)<a href="https://agentmods.dev/skills/waterplanai/agentic-config/ac-tools-dry-run"><img src="https://agentmods.dev/badge/skills/waterplanai/agentic-config/ac-tools-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/waterplanai/agentic-config/ac-tools-dry-run"><img src="https://agentmods.dev/badge/skills/waterplanai/agentic-config/ac-tools-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 | $0.00047 | $0.00883 |
| Opus 5 | $0.00023 | $0.00441 |
| Sonnet 5 | $0.00009 | $0.00177 |
| Haiku 4.5 | $0.00005 | $0.00088 |
Grade A, and why
ac-tools-dry-run scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
result = subprocess.run( How it starts
The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dry Run
Executes any command or prompt in simulation mode, preventing file modifications except for the session status file.
Compatibility Note
This pi wrapper preserves the original dry-run workflow. Runtime enforcement comes from the package-local dry-run-guard.py registration via @agentic-config/pi-compat; if that guard is unavailable, still follow the same no-write constraints manually.
Usage
/skill:ac-tools-dry-run <any command or prompt>
Examples:
/skill:ac-tools-dry-run /skill:ac-workflow-spec IMPLEMENT path/to/spec.md- Preview the implementation flow without writing files/skill:ac-tools-dry-run /skill:ac-workflow-mux-ospec path/to/spec.md- Preview a larger workflow without committing changes/skill:ac-tools-dry-run explain why the current plan uses packaged assets- Normal chat with no file modifications
Workflow
Step 1: Initialize Session Status
Resolve the session status path using the same priority as the dry-run hook:
- prefer
CLAUDE_SESSION_IDwhen it is available - otherwise fall back to compat PID tracing
- use the shared path only as a legacy last resort
SESSION_ID="${CLAUDE_SESSION_ID:-}"
if [ -z "$SESSION_ID" ]; then
SESSION_ID=$(python3 - <<'PY'
import os
import subprocess
pid = os.getpid()
for _ in range(10):
result = subprocess.run(
["ps", "-o", "pid=,ppid=,comm=", "-p", str(pid)],
capture_output=True,
text=True,
check=False,
)
line = result.stdout.strip()
if not line:
break
parts = line.split()
if len(parts) >= 3:
current_pid, ppid, comm = int(parts[0]), int(parts[1]), parts[2]
if "claude" in comm.lower():
print(current_pid)
break
pid = ppid
else:
break
else:
print("shared")
PY
)
fi
[ -n "$SESSION_ID" ] || SESSION_ID="shared"
STATUS_DIR="outputs/session/${SESSION_ID}"
STATUS_FILE="${STATUS_DIR}/status.yml"
mkdir -p "$STATUS_DIR"
If ${STATUS_FILE} does not exist, create it with:
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.
- 10d ago First seen · 135 lines · 47 tokens per session scan A 4bf9cf6543a4
ac-tools-dry-run is a skill published in the GitHub repository WaterplanAI/agentic-config (30 stars, last pushed 1mo ago), licensed MIT. It adds 47 tokens to every session and 883 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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vfx-text-cursor
A video or hero-frame effect where a cursor reveals a sentence character by character with coloured trails, light streaks, and a final shimmer.
migrate-skills-between-libraries
Use when moving skills between library workspaces or upgrading from a personal library to a team library. Export from one workspace, import into another.
review-a-skill
Use when evaluating whether a skill belongs in a library. Preview content, check frontmatter, validate structure, and decide whether to keep, curate, or remove.
audit-library-health
Use when checking the overall health of a skills library. Run doctor, validate, check for stale skills, and verify generated docs are in sync.
browse-and-evaluate
Use when exploring the ai-agent-skills catalog to find, compare, and evaluate skills before installing. Always use --fields to limit output size and --dry-run before committing to an install.
install-from-remote-library
Use when installing skills from a shared ai-agent-skills library repo. Inspect with --list first, prefer --collection, and preview with --dry-run before installing.