Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/hypnguyen1209/offensive-claudenpx agentmods add commands/hypnguyen1209/offensive-claude/engage.gateWrote 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/hypnguyen1209/offensive-claude/engage.gate)<a href="https://agentmods.dev/commands/hypnguyen1209/offensive-claude/engage.gate"><img src="https://agentmods.dev/badge/commands/hypnguyen1209/offensive-claude/engage.gate/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/commands/hypnguyen1209/offensive-claude/engage.gate"><img src="https://agentmods.dev/badge/commands/hypnguyen1209/offensive-claude/engage.gate.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 | $0.00009 | $0.00996 |
| Opus 5 | $0.00005 | $0.00498 |
| Sonnet 5 | $0.00002 | $0.00199 |
| Haiku 4.5 | $0.00001 | $0.00100 |
Grade A, and why
engage.gate 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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/engage.gate
Validates that the current phase meets all completion criteria before advancing to the next phase.
Usage
/engage.gate [--phase <phase-number>]
If no phase specified, validates the current active phase.
Validation Checks
Automated Enforcement (run these, don't just eyeball)
These executable checks back the gate — a phase cannot pass if they fail:
# Scope is enforced, not promised: every in-scope target must classify in-scope,
# and the scope file itself must be valid.
python skills/coding-mastery/scripts/_lib/scope_guard.py check <target> \
--scope .engage/scope/scope.json
# Evidence must be re-verifiable: re-hash every captured artifact before trusting a citation.
# Exit 1 if any item is FAILED/UNVERIFIED (tampered, missing, or never hashed).
python skills/vulnerability-analysis/scripts/evidence_kit.py verify \
--store .engage/evidence/evidence.json
# Findings must be grounded in evidence and survive per-class kill-signals.
# --evidence-store makes any [EVD-XXX] a finding cites have to EXIST and be VERIFIED, else REJECTED.
# --strict makes hedge / uncited lint on a CONFIRMED finding also fail the gate.
# Exit 1 if any finding is REJECTED (ungrounded / false-positive / dangling-or-unverified citation).
python skills/vulnerability-analysis/scripts/validate_findings.py \
--findings .engage/exploit/findings.json --evidence .engage/evidence \
--evidence-store .engage/evidence/evidence.json --strict
A finding only passes the gate if validate_findings.py tiers it CONFIRMED (or a
documented CHAIN-REQUIRED). POSSIBLE/REJECTED findings do not advance. No finding advances
past the exploit gate while it cites UNVERIFIED evidence — run evidence_kit.py verify first. See
skills/references/finding-validation-runtime.md and finding-evidence-standards.md.
Artifact Validation
- All required template files are populated
- No placeholder text remains (e.g., "[TODO]", "[FILL IN]")
- Required sections contain substantive content
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 · 125 lines · 9 tokens per session scan A e8bbd2636a73
engage.gate is a command published in the GitHub repository hypnguyen1209/offensive-claude (357 stars, last pushed 22d ago), licensed MIT. It adds 9 tokens to every session and 996 once invoked, about $0.0000 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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rfc
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prd
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exception
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