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 vgtitov/bsl-ai-toolkit --skill 1c-devgit clone --depth 1 https://github.com/vgtitov/bsl-ai-toolkitWrote 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/vgtitov/bsl-ai-toolkit/1c-dev)<a href="https://agentmods.dev/skills/vgtitov/bsl-ai-toolkit/1c-dev"><img src="https://agentmods.dev/badge/skills/vgtitov/bsl-ai-toolkit/1c-dev/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/vgtitov/bsl-ai-toolkit/1c-dev"><img src="https://agentmods.dev/badge/skills/vgtitov/bsl-ai-toolkit/1c-dev.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 analysis-evasion · line 1 Suspicious Unicode normalization or mixed-script contentFix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
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 | $0.00524 | $0.03093 |
| Opus 5.5 | $0.00210 | $0.01237 |
| Sonnet 5.5 | $0.00105 | $0.00619 |
| Haiku 4.5 | $0.00052 | $0.00309 |
Grade A, and why
1c-dev 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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Разработка 1С (BSL) — писать корректный и производительный код по реальному коду
Локализация (сначала, если есть)
Если в скилле есть каталог references/local/ — прочитай его ПЕРЕД работой: version-stack.md
(версии платформы/библиотек, режим совместимости, префиксы ТВОЕЙ компании) и остальные карты.
При противоречии локальное побеждает generic. Контракт — docs/SKILL_LOCALIZATION.md toolkit.
Скилл разработчика: писать prod-ready BSL и ревьюить его по реальному коду и стандартам, не по памяти. Адаптируется под любую конфигурацию/расширение — заполни конвенции своего проекта (см. ниже).
Главное правило: спроси инструмент, не угадывай
Нейросеть врёт в деталях 1С. Источник истины — реальный код и официальная справка:
- Перед написанием — найди, как уже сделано: MCP-поиск по коду (find/search/read), затем grep по клонам. Сигнатуры встроенных функций — справка платформы (MCP справки платформы под твою версию).
- После правки — прогони BSL Language Server (синтаксис + стандарты ИТС). До 3 циклов автоисправления.
- Гвард производительности (ENFORCED) — прогони детектор «обращение к БД в цикле»:
python scripts/bsl_guard.py <изменённые .bsl>(exit 1 = находки). Ловит Запрос…Выполнить()/.ПолучитьОбъект()/.Ссылка.<Реквизит>внутриПока/Для(баг печатной формы). То же на коммите — pre-commit хук на staged*.bsl. - Нет поведения ни в коде, ни в справке — так и скажи. Механизм без сверки помечай [проверить], не «верно».
Алгоритм поиска (MCP-first): find_object → search → read_module → grep по клонам. Параметром scope
ограничивай слой/контур или расширяй на все (scope задаётся в config/layers.*.toml; без конфига — все слои).
Не делай вывод об отсутствии по непросмотренному слою.
Когда файл уже найден и вопрос точечный (что вызывает эту функцию, где она объявлена, какой тип у выражения,
не сломает ли правку сигнатуры другой контекст вызова) — не гадай по тексту и не грепай заново: bsl-ls-native
(MCP ≥1.0, JDK 21+) даёт definition/find_references/call_hierarchy/hover/type_at_position семантически,
без ложных совпадений по имени. Справка по глобальным функциям/типам платформы (сигнатуры, since/deprecated,
примеры) — тем же MCP: global_member_info/global_member_search/type_info.
What ships with it
22 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.
- references/additional-props.md 8.7 KB
- references/ai-pitfalls.md 8.9 KB
- references/bsp-reuse.md 10 KB
- references/bsp-top-methods.md 10.0 KB
- references/code-standards.md 11 KB
- references/conventions-template.md 4.9 KB
- references/dev-workflow.md 16 KB
- references/dynamic-list.md 11 KB
- references/ecosystem-map.md 31 KB
- references/edt-git-workflow.md 4.6 KB
- references/form-design-guide.md 9.6 KB
- references/form-layout.md 8.8 KB
- references/form-prototyping.md 3.7 KB
- references/form-style-profile-template.md 2.2 KB
- references/mr-review-agent.md 5.6 KB
- references/performance.md 14 KB
- references/platform-form-api.md 8.0 KB
- references/platform-ops.md 1.4 KB
- references/review-checklist.md 7.6 KB
- references/skd-programmatic.md 8.9 KB
- references/skd-user-settings.md 8.6 KB
- references/sonar-top-rules.md 4.6 KB
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 Changed cc5df541935a
- 9d ago Changed 7e1851476ed6
- 20d ago Changed · +1 lines dd876e687282
- 22d ago Changed · +2 lines 40293b363766
- 1mo ago Changed · +4 lines 870db6c34358
- 2mo ago Changed · +6 lines · +142 tokens per session 0303b47c751c
- 2mo ago Changed · +3 lines 931d1c6feb52
- 2mo ago First seen · 102 lines · 382 tokens per session scan A 08c6a3881347
1c-dev is a skill published in the GitHub repository vgtitov/bsl-ai-toolkit (34 stars, last pushed 3d ago), licensed MIT. It adds 524 tokens to every session and 3,093 once invoked, about $0.0021 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 2026-08-30.
1c-dev compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| 1c-devvgtitov/bsl-ai-toolkit | Skill | 34 | 3d ago | MIT | A | 524 | Claude Code |
| composing-1c-queriesDesko77/claude-code-skills-1c | Skill | 92 | 7d ago | MIT | A | 174 | Claude Code, Codex |
| humanize-ai-textDesko77/claude-code-skills-1c | Skill | 92 | 7d ago | MIT | A | 329 | Claude Code |
| transcribeDesko77/claude-code-skills-1c | Skill | 92 | 7d ago | MIT | A | 196 | Claude Code |
| 1c-form-compileDesko77/claude-code-skills-1c | Skill | 92 | 7d ago | MIT | A | 50 | Claude Code |
| 1c-web-testDesko77/claude-code-skills-1c | Skill | 92 | 7d ago | MIT | A | 46 | Claude Code |
| lmstudio-apiDesko77/claude-code-skills-1c | Skill | 92 | 7d ago | MIT | A | 199 | Claude Code, Codex |