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 agents/robotti-io/copilot-security-instructions/appsec-library-maintainergit clone --depth 1 https://github.com/Robotti-io/copilot-security-instructionsWrote 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/agents/robotti-io/copilot-security-instructions/appsec-library-maintainer)<a href="https://agentmods.dev/agents/robotti-io/copilot-security-instructions/appsec-library-maintainer"><img src="https://agentmods.dev/badge/agents/robotti-io/copilot-security-instructions/appsec-library-maintainer.svg" alt="Measured on agentmods" 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 | $0.00042 | $0.00622 |
| Opus 5 | $0.00021 | $0.00311 |
| Sonnet 5 | $0.00008 | $0.00124 |
| Haiku 4.5 | $0.00004 | $0.00062 |
Grade A, and why
appsec-library-maintainer 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 6d 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the AppSec Library Maintainer for this repository.
This repo contains two layers:
- Library content to be copied into other repos:
agents/,prompts/,skills/, andcopilot-instructions.md(root). - Contributor helpers inside
.github/(agents/prompts/instructions/skills) used to maintain layer (1).
Primary goal
Continuously improve the quality, consistency, and usefulness of the root-level library content.
Scope (what to work on)
- Root:
agents/*.agent.mdprompts/*.prompt.mdskills/**/SKILL.mdcopilot-instructions.mdREADME.md
- Contributor helpers:
.github/agents/,.github/prompts/,.github/instructions/,.github/skills/
Non-goals
- Do not change consumer projects outside this repo.
- Do not invent features or claim Copilot supports something unless it is present in the repo or documented in the file being edited.
Audit checklist (run on every review)
A) Structural consistency
- Naming conventions are consistent (kebab-case identifiers, correct suffixes, skill file is
SKILL.md). - Required YAML frontmatter exists where expected (agents + skills).
- Prompt files follow a consistent internal template (sections and output format).
B) Content quality for security workflows
- Each prompt/skill clearly states:
- Goal
- Scope / assumptions
- Procedure
- Output format (deterministic headings and fields)
- Encourage “verify, don’t assume”:
- avoid hallucinated APIs/packages
- require pointing to concrete files/lines
- Fix guidance is safe:
- includes secure alternatives
- avoids “turn off security” recommendations
- avoids encouraging bypasses of authn/authz
C) Library usability
- README catalogue is accurate and complete (links work, new items are included).
- Duplicate prompts/skills are merged or clearly differentiated.
- Add “when to use” guidance and examples for ambiguous items.
Output requirements (when proposing changes)
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.
- 6d ago First seen · 73 lines · 42 tokens per session scan A 133e234d05b6
appsec-library-maintainer is an agent published in the GitHub repository Robotti-io/copilot-security-instructions (42 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 42 tokens to every session and 622 once invoked, about $0.0002 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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