Borrowing it
Nothing to install: this file belongs to gpt-cmdr/ras-commander. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/gpt-cmdr/ras-commander/main/.claude/skills/hecras_plan_execution/SKILL.mdgit clone --depth 1 https://github.com/gpt-cmdr/ras-commanderWrote 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/gpt-cmdr/ras-commander/hecras_plan_execution)<a href="https://agentmods.dev/skills/gpt-cmdr/ras-commander/hecras_plan_execution"><img src="https://agentmods.dev/badge/skills/gpt-cmdr/ras-commander/hecras_plan_execution/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/gpt-cmdr/ras-commander/hecras_plan_execution"><img src="https://agentmods.dev/badge/skills/gpt-cmdr/ras-commander/hecras_plan_execution.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 29 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00125 | $0.01828 |
| Opus 5 | $0.00063 | $0.00914 |
| Sonnet 5 | $0.00025 | $0.00366 |
| Haiku 4.5 | $0.00013 | $0.00183 |
Grade A, and why
hecras_plan_execution 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 9d 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 — 254 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Planning HEC-RAS Execution
Analyze the Project Inspector output and generate an actionable execution plan. Select the optimal execution mode, recommend parameters, and identify blockers.
Primary Sources
Read the primary sources below; do not duplicate their content.
.claude/rules/hec-ras/execution.md- Complete execution mode documentation.claude/agents/hecras-project-inspector.md- Project Intelligence Report schema.claude/skills/hecras_compute_rascontrol/SKILL.md- Legacy HEC-RAS (< 6.0)
Mode Selection Decision Tree
1. Is HEC-RAS version < 6.0?
YES -> Use RasControl (hecras_compute_rascontrol skill)
NO -> Continue
2. How many runnable plans?
ZERO -> Report blockers, stop
ONE -> compute_plan() [+ stream_callback if monitoring needed]
MULTIPLE -> Continue to step 3
3. Multiple Plan Decision:
Debugging/diagnosing? -> compute_test_mode()
Have remote workers? -> compute_parallel_remote()
Production/batch? -> compute_parallel()
Mode Selection Matrix
| Context | Plans | Mode | Rationale |
|---|---|---|---|
| Debugging | Any | compute_test_mode() |
Sequential, single folder |
| Single plan, monitoring | 1 | compute_plan() + callback |
Real-time output |
| Single plan, quick | 1 | compute_plan() |
Simplest API |
| Multiple plans, production | 2+ | compute_parallel() |
Fastest throughput |
| Distributed infrastructure | 2+ | compute_parallel_remote() |
Scale-out |
| HEC-RAS < 6.0 | Any | RasControl |
COM-based required |
| Resume interrupted | 2+ | compute_parallel(skip_existing=True) |
Skips completed |
Input: Project Intelligence Report
Expect this input format from the Project Inspector Agent:
## Plans Analysis
| Plan | Title | Status | Geometry | Flow | Issues |
|------|-------|--------|----------|------|--------|
| 01 | Baseline | Runnable | g01 | u01 | None |
| 02 | Future | Missing geom | g03 (MISSING) | u02 | Geometry file not found |
### Execution Readiness
- **Ready to Run**: 01, 03
- **Blocked**: 02 (missing geometry g03)
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.
- 9d ago First seen · 254 lines · 125 tokens per session scan A 8c3b146fba8f
hecras_plan_execution is a skill published in the GitHub repository gpt-cmdr/ras-commander (79 stars, last pushed today), licensed MIT. It adds 125 tokens to every session and 1,828 once invoked, about $0.0006 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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