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 ArabelaTso/Skills-4-SE --skill tactic-suggestion-assistantgit clone --depth 1 https://github.com/ArabelaTso/Skills-4-SEWrote 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/arabelatso/skills-4-se/tactic-suggestion-assistant)<a href="https://agentmods.dev/skills/arabelatso/skills-4-se/tactic-suggestion-assistant"><img src="https://agentmods.dev/badge/skills/arabelatso/skills-4-se/tactic-suggestion-assistant/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/arabelatso/skills-4-se/tactic-suggestion-assistant"><img src="https://agentmods.dev/badge/skills/arabelatso/skills-4-se/tactic-suggestion-assistant.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00110 | $0.02069 |
| Opus 5 | $0.00055 | $0.01035 |
| Sonnet 5 | $0.00022 | $0.00414 |
| Haiku 4.5 | $0.00011 | $0.00207 |
Grade A, and why
tactic-suggestion-assistant 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 8d 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 — 238 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tactic Suggestion Assistant
Analyze proof states and suggest applicable tactics to make progress in Isabelle or Coq.
Overview
This skill helps you navigate interactive proofs by analyzing the current proof state and suggesting 3-5 ranked tactics that can make progress. It works with both Isabelle/Isar and Coq, providing system-specific suggestions with explanations.
How to Use
Provide the current proof state including:
- System: Isabelle or Coq
- Goal: The current goal to prove
- Context: Available hypotheses/assumptions (if any)
- Variables: Types of variables involved (optional but helpful)
The assistant will analyze the state and suggest tactics ranked by likelihood of success.
Analysis Process
Step 1: Identify the Proof System
Determine whether you're working in Isabelle or Coq based on syntax:
- Isabelle: Uses
⟹,∧,∨,∀,∃,'a list, etc. - Coq: Uses
->,/\,\/,forall,exists,list A, etc.
Step 2: Analyze Goal Structure
Examine the goal's logical form:
- Conjunction:
P ∧ Q/P /\ Q→ Split tactics - Implication:
P ⟹ Q/P -> Q→ Introduction tactics - Quantification:
∀x. P/forall x, P→ Variable introduction - Equality:
t1 = t2→ Simplification or rewriting - Inductive types: Lists, nat, trees → Induction or case analysis
Step 3: Examine Context
Look at available hypotheses:
- Equations: Can be used for rewriting
- Inductive predicates: Can be inverted or used directly
- Conjunctions: Can be decomposed
- Disjunctions: Require case analysis
Step 4: Consider Variable Types
Type information guides tactic choice:
- Lists: Suggest induction or case analysis (empty vs cons)
- Natural numbers: Suggest induction or case analysis (0 vs successor)
- Options: Suggest case analysis (None vs Some)
- Custom types: Suggest structural induction
Step 5: Rank Suggestions
Provide 3-5 tactics ranked by:
- Structural match with goal
- Simplicity and directness
- Automation potential
- Common proof patterns
- Context support
What ships with it
3 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.
- 8d ago First seen · 238 lines · 110 tokens per session scan A 05b73da5df6e
tactic-suggestion-assistant is a skill published in the GitHub repository ArabelaTso/Skills-4-SE (252 stars, last pushed 21d ago), licensed Apache-2.0. It adds 110 tokens to every session and 2,069 once invoked, about $0.0006 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 2026-09-03.
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