Borrowing it
Nothing to install: this file belongs to SioYooo/RepoGrammar. 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/SioYooo/RepoGrammar/main/.agents/skills/agent-integration/SKILL.mdgit clone --depth 1 https://github.com/SioYooo/RepoGrammarWrote 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/sioyooo/repogrammar/agent-integration)<a href="https://agentmods.dev/skills/sioyooo/repogrammar/agent-integration"><img src="https://agentmods.dev/badge/skills/sioyooo/repogrammar/agent-integration/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/sioyooo/repogrammar/agent-integration"><img src="https://agentmods.dev/badge/skills/sioyooo/repogrammar/agent-integration.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 | $0.00025 | $0.00413 |
| Opus 5.5 | $0.00010 | $0.00165 |
| Sonnet 5.5 | $0.00005 | $0.00083 |
| Haiku 4.5 | $0.00003 | $0.00041 |
Grade A, and why
agent-integration 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 2mo 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.
What it actually says
Purpose
Keep machine-level agent integration safe, reversible, and scoped.
Trigger conditions
Use when editing repogrammar install, repogrammar uninstall, MCP
configuration writes, installation receipts, or agent instruction-file edits.
Required reading
docs/specifications/installation.mddocs/decisions/ADR-0007-safe-install-progress-telemetry.mddocs/specifications/mcp-api.md
Preconditions
- Identify target agent and scope.
- Confirm dry-run and print-config behavior are available.
- Confirm consuming repositories are not forced to mirror RepoGrammar's own root guide policy.
Step-by-step procedure
- Detect supported agents.
- Prefer native agent configuration commands where available.
- Preserve unknown config fields.
- Refuse malformed config by default.
- Back up before approved repair.
- Write atomically and reparse after writing.
- Store a reversible receipt.
- Validate MCP integration with a self-test.
- Only modify instruction files with marker fences and explicit consent.
- Never create or delete repository-local
.repogrammar/indexes frominstalloruninstall; project state belongs toinitanduninit.
Required verification
Run installer parsing tests, self-test validation tests when implemented, and the full repository verification suite.
Documentation updates
Update docs/specifications/installation.md, README, CHANGELOG, and MCP docs
as needed.
Commit requirements
Never commit machine-local receipts or generated user config. Commit tests and docs with installer behavior.
Completion report
Report target agents, scopes, dry-run behavior, receipt behavior, and any configuration that remains unsupported.
Failure and rollback handling
If config is malformed or unknown ownership cannot be proven, do not write. Report the blocker and leave user configuration untouched.
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.
- 2mo ago First seen · 66 lines · 25 tokens per session scan A 800ed99bbfb8
agent-integration is a skill published in the GitHub repository SioYooo/RepoGrammar (0 stars, last pushed yesterday), licensed MIT. It adds 25 tokens to every session and 413 once invoked, about $0.0001 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 2026-08-31.
Other skills, from other repositories
architecture-audit
Systematic architecture audit and refactoring methodology for Rust + TypeScript codebases. Use when performing refactoring, cleanup, unification, code review, dead code removal, module reorganization, or tech debt elimination. Ensures no naming confusion, semantic overloading, hidden defaults, duplicate logic, or…
presentations
Build PowerPoint (PPTX) decks — pptxgenjs when Node is present, python-pptx when not; edit existing decks in place via OOXML — with visual QA before delivery.
e2e-testing
ORGII keeps two separate E2E surfaces. Do not use one as proof for the other.
dual-instance-verification
Two-device verification protocol for ORG2 cloud sync and session sharing. Use before declaring any sharing/sync/collab feature or fix "verified": share/unshare, push/retract, fork/import, comments, member-floor, replay, continuation, or anything touching Org2CloudSyncEngine, collab engines, or the session channel…
pdf-documents
Generate PDFs with fpdf2 and merge, split, or fill existing PDFs with pypdf, with visual QA before delivery.
simplicio-orient
Terminal-first execution — answer facts with the shell, never with the LLM. Use whenever a step needs a fact about the filesystem, git, processes, or system resources, or runs a build/test/lint/diff whose output would flood context. Substitutes deterministic shell/CLI calls for native LLM operations and clamps their…