Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/ellmos-ai/skillsnpx agentmods add skills/ellmos-ai/skills/letter-hookerWrote 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/ellmos-ai/skills/letter-hooker)<a href="https://agentmods.dev/skills/ellmos-ai/skills/letter-hooker"><img src="https://agentmods.dev/badge/skills/ellmos-ai/skills/letter-hooker/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/ellmos-ai/skills/letter-hooker"><img src="https://agentmods.dev/badge/skills/ellmos-ai/skills/letter-hooker.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 | $0.00129 | $0.01304 |
| Opus 5 | $0.00064 | $0.00652 |
| Sonnet 5 | $0.00026 | $0.00261 |
| Haiku 4.5 | $0.00013 | $0.00130 |
Grade B, and why
letter-hooker scanned grade B with 1 finding 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
Der **Letter-Hooker**-Skill erweitert `automation-self-care` für KI-Agenten-Frameworks (wie **Antigravity / Gemini CLI**), die keine nativen, ereignisgetriebenen JSON-Lifecycle-Hook-Loader besitzen (z. B. `~/.claude/sett How it starts
The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Letter-Hooker (Prompt-Level Preflight & Governance Engine)
Der Letter-Hooker-Skill erweitert automation-self-care für KI-Agenten-Frameworks (wie Antigravity / Gemini CLI), die keine nativen, ereignisgetriebenen JSON-Lifecycle-Hook-Loader besitzen (z. B. ~/.claude/settings.json oder ~/.codex/hooks.json).
Statt sich auf passive Per-Keypress-Hooks zu verlassen, betreibt letter-hooker einen aktiven Prompt-Level-Preflight-Bootloader und Letter-Hook-Injection-Loop über geplante Tasks und Maintainer-Skripte (agy_kontext_and_workflow_loader.py).
Kernfähigkeiten
-
Preflight-Bootloader & Dokument-Traversierungsregeln:
- Aufwärts- & Abwärtssuche: Erzwingt strikte Anweisungen für Agenten,
AGENTS.md,CLAUDE.md,START.md,RULES.mdundREADME.mdauf der aktuellen Arbeitsverzeichnis-Ebene zu prüfen. Fehlen sie, aufwärts traversieren, bis gefunden; dann abwärts prüfen. - Memory- & Gardener-Preflight: Pflicht-Preflight-Abfrage an
gardenerundmemoryhooker, bevor destruktive oder komplexe Änderungen ausgeführt werden.
- Aufwärts- & Abwärtssuche: Erzwingt strikte Anweisungen für Agenten,
-
Letter-Hooks-Katalog & Referenz-Links:
- Modulare
.md-Instruktionsdateien unterOneDrive/.SYNC/antigravity_kontext_and_workflow_loader_package/letter_hooks/. - Injiziert explizite
file://-Links direkt in densidecar.json-Prompt-Text, damit Agenten bei Aufruf exakte Sicherheits- und Workflow-Protokolle lesen.
- Modulare
-
Tägliche Stichwortliste & selbstheilende Prompt-Anreicherung:
- Pflegt eine tägliche
STICHWORTLISTE.jsonaus aktiven/Standby-Tasks. - Analysiert Ausführungslogs (
AUTOMATIONS-MEMORY.md) auf Fehlermuster (fehlender Kontext, fehlende Workflow-Anleitung, ungültige Pfade) und patcht Task-Prompts dynamisch.
- Pflegt eine tägliche
-
Skill- & Persona-Routing:
- Prüft Task-Schlüsselwörter und mappt sie auf passende
.SKILLS(z. B.infrastructure/condition,semantic-persona-routing,orchestrator,think,decide).
- Prüft Task-Schlüsselwörter und mappt sie auf passende
What ships with it
8 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.
- 6d ago First seen · 87 lines · 129 tokens per session scan B cb03d9a06cc5
letter-hooker is a skill published in the GitHub repository ellmos-ai/skills (4 stars, last pushed today), licensed MIT. It adds 129 tokens to every session and 1,304 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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