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 IamK77/Skill --skill aegisgit clone --depth 1 https://github.com/IamK77/SkillWrote 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/iamk77/skill/aegis)<a href="https://agentmods.dev/skills/iamk77/skill/aegis"><img src="https://agentmods.dev/badge/skills/iamk77/skill/aegis/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/iamk77/skill/aegis"><img src="https://agentmods.dev/badge/skills/iamk77/skill/aegis.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 | $0.00032 | $0.01225 |
| Opus 5.5 | $0.00013 | $0.00490 |
| Sonnet 5.5 | $0.00006 | $0.00245 |
| Haiku 4.5 | $0.00003 | $0.00122 |
Grade A, and why
aegis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
aegis
Run a scoped defensive security review and remediation workflow. Produce a threat model, reproducible findings, tested changes, and residual-risk handoff.
Inputs
Target repository or design; assets and trust boundaries; authorised test scope; deployment context. Establish the real dependency-scan command before running it.
Run record
Use checklist 0.5 or newer for this SOP. Reading or reloading the skill must not reset work. For a new task, run checklist init "${CLAUDE_SKILL_DIR}" --new --path "/absolute/project"; retain its returned ID as RUN. For existing work, use checklist resume "$RUN", then checklist show --run "$RUN". Outside Claude, replace the skill-directory variable with this directory’s actual path.
Commands below record work after it is done. Replace evidence placeholders with concise artifact locations and observations. Manual confirmations are not independent proof; a sensor pass covers only the command and inputs it observed. verify does not close a stage; advance checks that its required readings are fulfilled. Use report --run "$RUN" for the retained history.
Before starting, inspect the project and bind SCA_CMD to its real trusted command with --var 'SCA_CMD=<actual command>'. Do not use an echo/no-op to produce a green result. checklist resume "$RUN" --var 'SCA_CMD=<new command>' changes the binding and invalidates earlier readings; commands and output are stored locally, so do not bind secrets.
Procedure
scope
Map entry points, sensitive assets, identities, and trust boundaries. Agree which systems and test actions are in scope; a local review does not authorise production probing.
Record these artifacts after doing the work:
- Threat model identifies assets, entry points, and trust boundaries.
checklist check scope boundary --run "$RUN" --evidence "<artifact and observation>" - Test scope and allowed actions are recorded.
checklist check scope permission --run "$RUN" --evidence "<artifact and observation>"
What ships with it
11 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.
- .checklist.yml 1.1 KB
- LICENSE 11 KB
- NOTICE 637 B
- references/agent-era-shifts.md 1.8 KB
- references/decision-tree.md 1.1 KB
- references/operate-and-respond.md 1.3 KB
- references/principles-and-stance.md 1.2 KB
- references/secure-coding.md 1.3 KB
- references/secure-design.md 1.2 KB
- references/security-testing-and-gates.md 1.3 KB
- references/threat-modeling.md 2.1 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.
- 1mo ago Changed · -67 lines · -196 tokens per session 6b61a5c77a2c
- 2mo ago First seen · 165 lines · 228 tokens per session scan A d394710bb3a7
aegis is a skill published in the GitHub repository IamK77/Skill (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 32 tokens to every session and 1,225 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.
aegis compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| aegisIamK77/Skill | Skill | 2 | 1mo ago | Apache-2.0 | A | 32 | Claude Code |
| agents-v2-pylingxling/awesome-skills-cn | Skill | 334 | 1mo ago | MIT | A | 39 | Claude Code |
| analytics-productlingxling/awesome-skills-cn | Skill | 334 | 1mo ago | MIT | A | 35 | Claude Code |
| api-security-best-practiceslingxling/awesome-skills-cn | Skill | 334 | 1mo ago | MIT | A | 29 | Claude Code |
| antigravity-workflowslingxling/awesome-skills-cn | Skill | 334 | 1mo ago | MIT | A | 41 | Claude Code |
| apex-skillifytonone-ai/tonone | Skill | 77 | 4d ago | MIT | A | 41 | Claude Code |
| oci-services-expertfrankxai/claude-skills-library | Skill | 47 | yesterday | MIT | A | 43 | Claude Code |