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 agentmods add skills/i-stack/ai-coding-kit/ios-engineernpx skills add i-stack/ai-coding-kit --skill ios-engineergit clone --depth 1 https://github.com/i-stack/ai-coding-kitWhat 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 | $0.00195 | $0.06249 |
| Opus 5 | $0.00097 | $0.03125 |
| Sonnet 5 | $0.00039 | $0.01250 |
| Haiku 4.5 | $0.00019 | $0.00625 |
Grade A, and why
ios-engineer 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 yesterday.
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 — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
iOS Engineer
Cognitive Adversary Mode (Mandatory — Strict Execution)
When the scenario is triggered, read and strictly follow cognitive_adversary_mode.md in order (role, Steps 0–6, final output format, and forbidden behaviors are all defined there; no skipping steps, no omitting fields, no substituting "first agree then weakly rebut" for the Step 1 strongest counter-argument).
- When to enable: Technical decisions / architecture trade-offs / root cause & performance attribution / final review judgments / user expresses strong conviction or explicitly asks "challenge me / don't sycophant / red team"; see the ref's "Trigger Phrases" section for shorthand triggers.
- Relationship with Iron Rules: This mode governs cognitive calibration (approaching truth); IRs and ROUTEs below govern engineering delivery; when in conflict, "closer to truth" takes precedence, but engineering output must still satisfy GR-004 / IR-006 / GR-008 / GR-010 etc.
- Division with cognitive-expansion: When CAM is NOT triggered, the main answer is followed by the full
cognitive-expansionskill;【Deep-dive】/【Expand】deepen & broaden without duplicating Steps 0–6.
Core Iron Rules
- [IR-001] Response language must match the user's input language. If the user writes in Chinese, respond in Chinese; if in English, respond in English. Code comments, Swift/ObjC API names, compiler error literals, crash stacks, tool command output, and log literals are exempt and may remain in their original language. Natural-language content (conversation, analysis, diagnosis, rule output, explanations) must follow the matched language.
- [IR-006] Any answer involving concurrency (
@MainActor/actor/Sendable/async let), availability APIs, SwiftUI behavior, or network cancellation semantics must include an explicit "Version Baseline" block. Choose one: (a) readIPHONEOS_DEPLOYMENT_TARGETandSWIFT_VERSIONfrom the project and state the actual values (e.g.,iOS 15.0 / Swift 5.9), or (b) explicitly declare assumed values as "Assuming iOS ≥ N / Swift ≥ M; correct me if wrong." Providing neither or only one is a violation. Prefer reading the project; fall back to explicit assumption only when reading is infeasible or too costly. This skill does not presume a default baseline. See examples.md §1/§2/§4/§5/§6 templates for the "Version Baseline" block and review_checklists.md §8 for the skeleton placement; this block must exist as a standalone paragraph—no merging into "Conclusion" or "Why", no inline prose; field presence must be mechanically verifiable. - [IR-011] When the Cognitive Adversary Mode scenario is triggered, the output must include the full cognitive calibration structure: Restatement, Strongest Counter-argument, Hidden Assumptions, Failure Conditions, Falsifiable Conditions, Position Reversal, Sycophancy Self-check, Confidence, Conclusion. Do not omit the Strongest Counter-argument, Position Reversal, or Sycophancy Self-check. See cognitive_adversary_mode.md for complete trigger conditions, steps, and forbidden behaviors.
What ships with it
60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- AGENT-BRIEF.md 1.5 KB
- agents/openai.yaml 551 B
- evolution/active_version.json 239 B
- evolution/approvals/20260611-194725-update-mcp-config-source-path.json 266 B
- evolution/approvals/20260701-160500-add-test-priority-layers.json 699 B
- evolution/approvals/20260705-162659-architecture-expansion-v74.json 2.5 KB
- evolution/approvals/20260706-163822-add-plan-grill-architecture-analysis-mode.json 599 B
- evolution/approvals/20260710-114405-register-gr011-013-rule-index.json 255 B
- evolution/approvals/20260710-154300-sync-gr-ids-to-templates-ledger.json 277 B
- evolution/approvals/20260710-155000-fix-code-review-behavior-contract.json 281 B
- evolution/approvals/20260723-152751-expand-description-platforms.json 271 B
- evolution/approvals/20260723-173058-cam-fields-preserve-format.json 267 B
- evolution/history/v64/metadata.json 141 B
- evolution/history/v64/snapshot/agents/openai.yaml 551 B
- evolution/history/v64/snapshot/references/anti_patterns.md 7.5 KB
- evolution/history/v64/snapshot/references/architecture_analysis.md 10 KB
- evolution/history/v64/snapshot/references/architecture_and_network.md 7.6 KB
- evolution/history/v64/snapshot/references/build_release_and_ci.md 5.6 KB
- evolution/history/v64/snapshot/references/code_templates.md 7.6 KB
- evolution/history/v64/snapshot/references/decision_records.md 3.0 KB
- evolution/history/v64/snapshot/references/domain_modeling.md 4.3 KB
- evolution/history/v64/snapshot/references/examples.md 6.4 KB
- evolution/history/v64/snapshot/references/execution_playbooks.md 3.7 KB
- evolution/history/v64/snapshot/references/ios_conventions.md 8.8 KB
- evolution/history/v64/snapshot/references/layout_and_ui.md 8.7 KB
- evolution/history/v64/snapshot/references/mcp_control.md 3.3 KB
- evolution/history/v64/snapshot/references/migration_strategy.md 6.1 KB
- evolution/history/v64/snapshot/references/networking_patterns.md 3.4 KB
- evolution/history/v64/snapshot/references/observability_logging.md 4.0 KB
- evolution/history/v64/snapshot/references/performance_optimization.md 3.8 KB
- evolution/history/v64/snapshot/references/review_checklists.md 5.1 KB
- evolution/history/v64/snapshot/references/root_cause_enforcement.md 5.0 KB
- evolution/history/v64/snapshot/references/rule_index.md 14 KB
- evolution/history/v64/snapshot/references/self_evolution.md 11 KB
- evolution/history/v64/snapshot/references/swift_concurrency.md 2.9 KB
- evolution/history/v64/snapshot/references/team_collaboration.md 2.5 KB
- evolution/history/v64/snapshot/references/test_execution_and_repair.md 6.1 KB
- evolution/history/v64/snapshot/references/testing_strategy.md 4.0 KB
- evolution/history/v64/snapshot/references/ui_state_patterns.md 3.7 KB
- evolution/history/v64/snapshot/references/usage_ledger.md 11 KB
- evolution/history/v64/snapshot/references/validation_scenarios.md 6.0 KB
- evolution/history/v64/snapshot/scripts/append_usage_entry.sh 4.8 KB runs code
- evolution/history/v64/snapshot/scripts/approve_skill_promotion.sh 2.0 KB runs code
- evolution/history/v64/snapshot/scripts/check_skill_promotion_readiness.sh 2.0 KB runs code
- evolution/history/v64/snapshot/scripts/check_snapshot_consistency.sh 1.6 KB runs code
- evolution/history/v64/snapshot/scripts/create_skill_proposal.sh 1022 B runs code
- evolution/history/v64/snapshot/scripts/demo_skill_evolution_flow.sh 1.3 KB runs code
- evolution/history/v64/snapshot/scripts/extract_usage_audit.sh 4.5 KB runs code
- evolution/history/v64/snapshot/scripts/lint_hit_rules.sh 3.0 KB runs code
- evolution/history/v64/snapshot/scripts/promote_skill_evolution.sh 3.1 KB runs code
- evolution/history/v64/snapshot/scripts/record_validation_scenario.sh 2.9 KB runs code
- evolution/history/v64/snapshot/scripts/rollback_skill_evolution.sh 2.9 KB runs code
- evolution/history/v64/snapshot/scripts/run_behavior_validation.sh 4.9 KB runs code
- evolution/history/v64/snapshot/scripts/summarize_usage_ledger.sh 11 KB runs code
- evolution/history/v64/snapshot/scripts/test_proposal_scripts.sh 3.5 KB runs code
- evolution/history/v64/snapshot/scripts/update_skill_proposal_status.sh 1.1 KB runs code
- evolution/history/v64/snapshot/scripts/validate_rule_ids.sh 4.9 KB runs code
- evolution/history/v64/snapshot/scripts/validate_scenario_specs.sh 5.5 KB runs code
- evolution/history/v64/snapshot/scripts/validate_skill_evolution.sh 6.0 KB runs code
- evolution/history/v64/snapshot/scripts/validate_skill_proposal.sh 2.5 KB runs code
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.
- yesterday First seen · 147 lines · 195 tokens per session scan A 0cffbf2821c9
ios-engineer is a skill published in the GitHub repository i-stack/ai-coding-kit (3 stars, last pushed yesterday), licensed MIT. It adds 195 tokens to every session and 6,249 once invoked, about $0.0010 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 2026-08-31.
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