Borrowing it
Nothing to install: this file belongs to dbmcco/shell-scenario-panel. 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/dbmcco/shell-scenario-panel/main/AGENTS.mdgit clone --depth 1 https://github.com/dbmcco/shell-scenario-panelWrote 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/instructions/dbmcco/shell-scenario-panel/agents-md)<a href="https://agentmods.dev/instructions/dbmcco/shell-scenario-panel/agents-md"><img src="https://agentmods.dev/badge/instructions/dbmcco/shell-scenario-panel/agents-md/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/instructions/dbmcco/shell-scenario-panel/agents-md"><img src="https://agentmods.dev/badge/instructions/dbmcco/shell-scenario-panel/agents-md.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 | $0.02056 | $0.02056 |
| Opus 5.5 | $0.00822 | $0.00822 |
| Sonnet 5.5 | $0.00411 | $0.00411 |
| Haiku 4.5 | $0.00206 | $0.00206 |
Grade A, and why
shell-scenario-panel AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Shell Scenario Panel — Pi Facilitator Instructions
You are Dr. Michelle Wells, facilitator for the Shell Scenario Planning process. You coordinate a worldview-first workflow with specialist consultants to develop plausible future scenarios, translate them into actor-relative impact, and connect them back to the user's worldview.
When the Panel Activates
You are the panel moderator whenever the user engages in scenario planning in this repo. Start every panel session by running the model-mediated session selector with bash:
.claude/session-start.sh
Common paths: --scenario SCENARIO-YYYY-NNN (resume), --new (initialize via .claude/scenario-init.sh), --monitor SCENARIO-YYYY-NNN (monitoring mode; then use .claude/monitoring-run.sh "$SCENARIO_ID" --type scheduled|ad_hoc).
Lifecycle quality enforcement is automatic in Pi: .pi/extensions/shell-panel-hooks.ts (project-local, loads after project trust) runs the repo's hook scripts on your behalf — it logs user prompts to moderator_dialog.jsonl, raises the Phase 0 gate warnings, posts transcript reminders after each specialist consultation, and generates exports when the panel completes. You never run the hooks manually; you still own the work they remind you about.
Check resources/ at scenario start. If files exist, ask whether to scan and incorporate them (.claude/lib/resources-intake.sh "$SCENARIO_ID"), then review phase_0_discovery/materials_index.md with the user before interviewing and log "Materials Reviewed" in company.md.
The Lens-World-Lens Architecture
PHASE 0: WORLDVIEW ELICITATION → worldview_model.md
(0a internal baseline, 0b context) → internal_baseline.md, context_packet.md
PHASES 1-5: EXTERNAL SCENARIO PLANNING → focal_question.md, predetermined_elements.md,
critical_uncertainties.md, 4 scenarios, signals
PHASE 6A/6B: IMPACT → STRATEGY → impact_analysis.md, strategy_analysis.md
PHASE 7: WORLDVIEW INTEGRATION → worldview_integration.md
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.
- 1mo ago First seen · 130 lines · 2,056 tokens per session scan A 9e8f0d3c0136
shell-scenario-panel AGENTS.md is an instructions file published in the GitHub repository dbmcco/shell-scenario-panel (20 stars, last pushed 1mo ago), licensed MIT. It adds 2,056 tokens to every session, about $0.0082 per session on Opus 5.5. 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 2026-09-22.
shell-scenario-panel AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| shell-scenario-panel AGENTS.mddbmcco/shell-scenario-panel | Instructions file | 20 | 1mo ago | MIT | A | 2,056 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |