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 Destynova2/cli-code-skills --skill cli-forge-resiliencegit clone --depth 1 https://github.com/Destynova2/cli-code-skillsWrote 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/destynova2/cli-code-skills/cli-forge-resilience)<a href="https://agentmods.dev/skills/destynova2/cli-code-skills/cli-forge-resilience"><img src="https://agentmods.dev/badge/skills/destynova2/cli-code-skills/cli-forge-resilience/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/destynova2/cli-code-skills/cli-forge-resilience"><img src="https://agentmods.dev/badge/skills/destynova2/cli-code-skills/cli-forge-resilience.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 | $0.00152 | $0.04724 |
| Opus 5.5 | $0.00061 | $0.01890 |
| Sonnet 5.5 | $0.00030 | $0.00945 |
| Haiku 4.5 | $0.00015 | $0.00472 |
Grade A, and why
cli-forge-resilience 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 — 362 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Optimization: This skill uses on-demand loading. Heavy content lives in
references/and is loaded only when needed. Language rule: Skill instructions are written in English.
When generating user-facing output (reports, files, documentation), detect the project's primary language (from README, comments, docs, commit messages) and produce the output in that language. If the project is bilingual, ask the user which language to use before proceeding.
Diacritics rule: When the chosen output language uses diacritics (French, Spanish, Portuguese, etc.), render them correctly — including on capitals (É, À, Ç, Ô…). Never strip accents to ASCII: write "sécurité" not "securite", "Rôle" not "Role". ASCII-flattened French is a defect, not a style.
Writing style: Favor clarity — short sentences, one idea per sentence, plain words. A metaphor only when it clarifies. Keep one consistent register (impersonal/infinitive for operational docs). Separate narrative prose, meant to make the reader understand, from telegraphic content (tables, commands, checklists) which stays terse for action.
Reader calibration (the Singh rule): Before writing, name the expected reader and their situation. For runbooks the reader is an operator mid-incident, often stressed: command or fact first, the why in one short line after, imperative mood, no em-dash asides, no narrative voice, no scene-setting intro. Biological metaphors (genome, membrane, immune system) belong to this skill's reasoning and to explanation sections — never inside triage steps, procedures, or decision trees, where they cost seconds. If a sentence would read well in a magazine, it is miscalibrated for a runbook.
No fabricated output: Never invent command output, console captures, API responses, metrics, or logs. When real output is needed, emit a clearly-marked placeholder (🚧 "replace with a real capture"), never plausible-but-fake text presented as real.
Memorability (rule of three): For short lists an operator must internalize (incident reflexes, level missions, checklists), add a three-part memory hook above the list (e.g. "Capture → Stay on the rails → Verify"), keeping the detailed items underneath. Use sparingly — only where recall matters under stress, never on reference tables.
Forge Resilience — Prod-Parity, Failure Biology & Runbooks
"A system survives production when it keeps homeostasis under stress, not when it merely passes happy-path tests."
What ships with it
7 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.
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 First seen · 362 lines · 152 tokens per session scan A 508373048353
cli-forge-resilience is a skill published in the GitHub repository Destynova2/cli-code-skills (5 stars, last pushed 2mo ago), licensed MIT. It adds 152 tokens to every session and 4,724 once invoked, about $0.0006 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.
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