SKILLEMALL.ai

FD lygo-context-guard

LYGO Context Guard — pre-flight token budget, secret redaction, and deterministic context compaction for AI agents. Use when stuffing tool dumps, logs, files, or long chats into a model; when context is too large; when you need to save tokens / reduce API cost; when you must redact API keys before re-injection. Pure local stdlib. No network, no subprocess. Commands: estimate, redact, compact, budget, toolpack, preflight. Install clawhub:@deepseekoracle/lygo-context-guard.

Blockedguard blocked the skill: signs of malicious behaviour
ClawHub Agent Skills author: LYRA Agent - LYGO OS v1.0.0 MIT-0 9 files body ≈ 913 tokens Open the sourceclawhub.ai analyzed 2 d ago

LYGO Context Guard — pre-flight token budget, secret redaction, and deterministic context compaction for AI agents.

As a process D 45/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
F
43/100
safety, quality, tests
Safety 60%
10
Quality 40%
92
Run on models
none yet
Process rating
D
45/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten
Guard blocked this skill: critical findings below. Do not install it until the author fixes them.

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Secrets in code
If you install

The files contain someone else's key or token. If it is live, your agent will call third-party services under a stranger's identity; if it was revoked, the skill's scripts simply fail. Such a key often arrives with the author's whole workspace, personal data included.

For the author

The key is visible to everyone who downloaded the skill and has likely been copied by catalog-scanning bots already. Revoke it now, check bills and access logs, then reissue.

How to improve

  1. Remove the critical guard findings (secrets, dangerous commands, hidden instructions): while they stand the skill is blocked and cannot grade above F.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 14

  • critical Secrets in code secret-openai-key scripts/self_check.py:16
    OpenAI-style API key (quoted — discussed, not commanded)
    leaky = "api_key=sk-p…456 password: hunt…ret"
    quoted
Medium and low: 13
  • medium Secrets in code secret-private-key scripts/context_guard.py:389
    Private key material (key header without key body; quoted — discussed, not commanded)
    -----BEGIN PRIVATE KEY----- …
    header onlyquoted
  • low Secrets in code secret-openai-key examples/leaky_tool_dump.txt:3
    OpenAI-style API key (placeholder value)
    api_key = sk-p…000
    placeholder
  • low Secrets in code secret-labelled-token examples/leaky_tool_dump.txt:3
    Labelled token / key literal (vendor format unknown — verify it is not a live credential) (placeholder value)
    api_key = sk-p…000
    placeholder
  • low Secrets in code secret-high-entropy-token examples/leaky_tool_dump.txt:3
    High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
    api_key = sk-p…000
    placeholder
  • low Secrets in code secret-password-literal examples/leaky_tool_dump.txt:3
    Hard-coded password / key literal (may be an example) (placeholder value)
    api_key = sk-p…000
    placeholder
  • low Secrets in code secret-password-literal examples/leaky_tool_dump.txt:5
    Hard-coded password / key literal (may be an example) (test fixture / example file)
    password: Supe…o99
    fixture
  • low Secrets in code secret-openai-key scripts/context_guard.py:387
    OpenAI-style API key (placeholder value)
    api_key = sk-p…000
    placeholder
  • low Secrets in code secret-labelled-token scripts/context_guard.py:387
    Labelled token / key literal (vendor format unknown — verify it is not a live credential) (placeholder value)
    api_key = sk-p…000
    placeholder
  • low Secrets in code secret-high-entropy-token scripts/context_guard.py:387
    High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
    api_key = sk-p…000
    placeholder
  • low Secrets in code secret-password-literal scripts/context_guard.py:387
    Hard-coded password / key literal (may be an example) (placeholder value)
    api_key = sk-p…000
    placeholder
  • low Secrets in code secret-password-literal scripts/context_guard.py:388
    Hard-coded password / key literal (may be an example) (quoted — discussed, not commanded)
    password: hunt…ret
    quoted
  • low Secrets in code secret-labelled-token scripts/self_check.py:16
    Labelled token / key literal (vendor format unknown — verify it is not a live credential) (quoted — discussed, not commanded)
    leaky = "api_key=sk-p…456 password: hunt…ret"
    quoted
  • low Secrets in code secret-password-literal scripts/self_check.py:16
    Hard-coded password / key literal (may be an example) (quoted — discussed, not commanded)
    leaky = "api_key=sk-p…456 password: hunt…ret"
    quoted

Files scanned: 9. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

✓ No remarks against the Agent Skills spec

Process rating: all ten parameters 45/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 1 mutating operations with no state check
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 100Steps. 5 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 913 tokens
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +3Description length 476: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 5 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 2 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.

External checks

ClawHub: clean
This skill is a local-only token budgeting, redaction, and compaction helper with disclosed file access and consent-gated local report writes.
LLM: benign (high) · VirusTotal: · 7 Aug 2026