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 elevanaltd/HestAI-MCP --skill review-preflightgit clone --depth 1 https://github.com/elevanaltd/HestAI-MCPWrote 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/elevanaltd/hestai-mcp/review-preflight)<a href="https://agentmods.dev/skills/elevanaltd/hestai-mcp/review-preflight"><img src="https://agentmods.dev/badge/skills/elevanaltd/hestai-mcp/review-preflight/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/elevanaltd/hestai-mcp/review-preflight"><img src="https://agentmods.dev/badge/skills/elevanaltd/hestai-mcp/review-preflight.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 | $0.00000 | $0.01102 |
| Opus 5 | $0.00000 | $0.00551 |
| Sonnet 5 | $0.00000 | $0.00220 |
| Haiku 4.5 | $0.00000 | $0.00110 |
Grade A, and why
review-preflight 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 7d 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
===SKILL:REVIEW_PREFLIGHT=== META: TYPE::SKILL VERSION::"1.2.0" STATUS::ACTIVE PURPOSE::"Mechanical prep delegation before review. Collects structured context brief via pal_chat so CRS spends tokens on judgement, not grunt work."
§1::CORE AUTHORITY::ADVISORY[preflight_brief_structure] PHASE::PRE_REVIEW[runs_BEFORE_review-discipline⊕review-prioritization] COMPLEMENTS::[review-discipline,review-prioritization]
§2::PROTOCOL
// CRS delegates preflight collection via mcp__pal__chat
// CRS runs as subagent (no Task tool) — PAL MCP tools are the delegation path
DETECT_CONTEXT::[
PR::"gh_pr_view→has_diff⊕has_CI⊕has_tier",
STANDALONE::"file_list_provided→no_PR_metadata",
AUDIT::"explicit_audit_scope→security_focus"
]
COLLECT::[
CONTEXT_TYPE::PR∨STANDALONE∨AUDIT,
FILE_SUMMARY::"files_changed⊕line_delta⊕languages_touched",
CI_STATUS::"pipeline_result[PR_only]",
TIER::"T0_through_T4_classification[PR_only]",
SECURITY_PATHS::"auth∨crypto∨secrets∨permissions∨.env∨tokens",
TEST_MAP::"changed_files→existing_test_files[presence_only]",
BOT_FINDINGS::"extracted_bot_review_comments[PR_only∧ADVISORY]"
]
// BOT_FINDINGS extraction protocol
BOT_AUTHORS::[
PRIORITY_1::cubic-dev-ai[bot]<structured_confidence⊕P0-P2_tiers⊕agent_prompts>,
PRIORITY_2::github-copilot[bot]<inline_suggestions∧auto_review>
]
// LOGIN_NORMALIZATION: GitHub APIs return different login formats for the same
// bot accounts. gh pr view --json comments returns logins WITHOUT the [bot]
// suffix (e.g., "cubic-dev-ai"), while gh api // repos/{owner}/{repo}/pulls/{pr}/comments preserves the [bot] suffix (e.g.,
// "cubic-dev-ai[bot]"). Additionally, some bots use legacy login variants
// that differ from their canonical name:
// - github-copilot[bot] may appear as "Copilot" or "copilot" (no [bot] suffix)
// - cubic-dev-ai[bot] may appear as "cubic-bot"
// - github-actions is the CI automation account (not a [bot]-suffixed account);
// its comments are excluded from gate validation because CI status comments
// contain approval-like text that would falsely clear review gates.
// The validate_review.py BOT_LOGIN_SET handles this by stripping [bot] from
// ADVISORY_BOTS and adding known legacy variant logins. When scanning for bot
// comments, match against the normalized set, not the canonical names.
BOT_EXTRACT::[
SCAN_ISSUE_COMMENTS::"gh_pr_view--json_comments→filter_by_normalized_BOT_LOGINS[strips_bot_suffix⊕includes_github-actions]",
SCAN_REVIEW_COMMENTS::"gh_api_repos/{repo}/pulls/{pr}/comments→filter_by_NORMALIZED_BOT_LOGINS[match_user.login_against:cubic-dev-ai|cubic-bot|github-copilot|Copilot|copilot|github-actions⊕also_match_[bot]_suffix]",
CUBIC::"extract_P0_P1_findings⊕confidence_metadata⊕agent_prompt_sections",
COPILOT::"extract_inline_suggestions[ADVISORY_context_only]",
CLASSIFY::ADVISORY[bot_findings_NEVER_block_merge]
]
OUTPUT::STRUCTURED_BRIEF[consumed_by_CRS⊕CE_before_review_begins]
§3::GOVERNANCE DELEGATION::[ TOOL::mcp__pal__chat[or_mcp__pal__clink_for_CLI_providers], PROVIDER_AGNOSTIC::no_model_specification[runtime_selects], FILE_PATHS::pass_absolute_file_paths_parameter[not_inline_code] ] BUDGET::[ BRIEF_ONLY::collect_facts_not_judgements, NO_REVIEW::delegate_NEVER_evaluates_code_quality, CONCISE::brief_fits_in_500_tokens_max ]
§5::ANCHOR_KERNEL TARGET::structured_preflight_brief_with_bot_findings_before_review NEVER::[evaluate_code_quality_in_preflight,specify_model_or_provider,skip_context_detection,produce_findings_or_verdicts,treat_bot_findings_as_blocking] MUST::[detect_review_context_type,collect_file_summary_and_languages,map_security_sensitive_paths,map_changed_files_to_tests,scan_both_issue_comments_AND_review_comments_for_bot_findings,normalize_bot_logins_before_matching,classify_bot_findings_as_ADVISORY,delegate_via_pal_tools] GATE::"Is a structured preflight brief (including bot findings marked ADVISORY) collected via PAL delegation before CRS begins review judgement?"
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.
- 7d ago First seen · 77 lines · 0 tokens per session scan A 75740b423b9c
review-preflight is a skill published in the GitHub repository elevanaltd/HestAI-MCP (0 stars, last pushed yesterday), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,102 tokens. 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 2026-09-03.
Other skills, from other repositories
autoreview
Pre-commit/ship code review: Codex default; optional Claude or Pi.
omh-code-review
This is a Hermes-native code-review workflow skill.
revdiff-plan
Review the last Codex assistant message (plan, analysis, or proposal) with inline annotations in a TUI overlay. Extracts the most recent response from Codex rollout files and opens it in revdiff for review and annotation. Activates on "revdiff-plan", "review plan with revdiff", "annotate plan", "review last response"…
code-reviewer
Code review specialist focused on patterns, bugs, security, and performance.
full-repo-review
Comprehensive four-wave review of all repo source files, producing a prioritized issue backlog.
agent-teams-simplify-and-harden
Implementation + audit loop using parallel agent teams with structured simplify, harden, and document passes. Spawns implementation agents to do the work, then audit agents to find complexity, security gaps, and spec deviations, then loops until code compiles cleanly, all tests pass, and auditors find zero issues or…